tag:datascience.nd.edu,2005:/newsData Science | News2023-12-22T09:42:00-05:00tag:datascience.nd.edu,2005:News/1589122023-12-22T09:42:00-05:002023-12-22T09:42:49-05:00Alumni Spotlight: Broad focus, yet targeted for career development<p>A connection to classmates, as well as a curriculum that has both a theoretical and practical focus, are reasons to consider the online <a href="https://datascience.nd.edu/programs/">M.S. in Data Science program</a> at Notre Dame, a 2022 graduate said.</p> <p>Amanda Cameron works at Google in Atlanta as an artificial intelligence…</p><p>A connection to classmates, as well as a curriculum that has both a theoretical and practical focus, are reasons to consider the online <a href="https://datascience.nd.edu/programs/">M.S. in Data Science program</a> at Notre Dame, a 2022 graduate said.</p>
<p>Amanda Cameron works at Google in Atlanta as an artificial intelligence and machine learning (AI/ML) customer engineering specialist, and found the program—which combines synchronous, online learning with in-person immersions—to be an essential component for advancing in her field.</p>
<p>Cameron, who has a bachelor’s degree in applied mathematics from the University of Georgia, was working for AT&T in cybersecurity when she began the 21-month program. Her goal: to work in Big Tech, but she was unsure how to make the jump. She first tried graduate school through Georgia Tech’s online program for computer science, but it wasn’t the right fit, nor did it match the work she was doing at AT&T.</p>
<p>“I saw a lot of peers getting master’s degrees and thought, okay, I guess it’s time for me to get mine,” Cameron said. “I didn’t start out having a clear, defined path. I also think it’s important for people to know that it is okay to admit failure and admit when things aren’t working. This leads us closer to our goals and the career we are trying to build.</p>
<p>“For grad school you’re going deeper, not broader, so you really need to make sure you’re connected to the material and the faculty. If I could do it over again, that’s what I would tell myself.”</p>
<p>A colleague at work told her about the Notre Dame program, which was more mathematical and better suited to her skills. Despite the pandemic, the program ran smoothly, and she remembers the connections she had with classmates in the midst of challenging circumstances. She credits Associate Director Samantha Adamczewski with remaining calm as they all faced the pandemic together.</p>
<p>Having a professional goal anchored everyone, Cameron said. “She was like, everyone’s stressed; let’s not make this more stressful for other people. We’re all doing our best right now, and if we come together as a class, we can graduate as a class.”</p>
<p>The professors managed the wide range of skills in the course in a seamless manner, which Cameron also appreciated. Some people are skilled with statistics, others are skilled with computer science, and yet others are data storytellers. And within the program and the immersions where they worked together in person, they were all able to share and learn new skills.</p>
<p>She enjoyed how the program covered broad, theoretical topics, but also provided the level of focus that all data science students need. For instance, the first class about probability and statistics packed a year’s worth of statistics into about 12 weeks.</p>
<p>“We had to very quickly upscale and adapt our thinking to how statistics can be used in an applied role, going beyond the area under the curve and fundamental interpretability of statistical models,” Cameron said. “But it’s very focused at the same time.”</p>
<p>Cameron described that the program was still different than she expected, because there wasn’t much structured lecture—especially given the caliber of professors in the program. The professors would share their knowledge, then hand over problems to the students who worked in teams to solve them.</p>
<p>She soon understood that combining the lectures with group assignments better mimicked the real world.</p>
<p>“I guess we don’t want our bosses lecturing at us for like an hour, either,” she said, jokingly.</p>
<p>She took advantage of the invaluable personal support, as well as resume and interviewing tips she learned in the program, when she interviewed for Google during the final year of the program. She’s since used the skills she learned in different ways, noting that as she talks to customers about AI or other topics, she has to wear different hats and uncover other opportunities to help meet the customers’ needs.</p>
<p>And that’s important, because the field is even more dynamic than in the past.</p>
<p>“Data science as a whole has changed, because now we’ve got generative AI, right?” Cameron noted. “It’s an interesting testament to, you know, even in 2023, the technology is always changing.”</p>
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<p class="attribution">Originally published by <span class="rel-author">Deanna Csomo Ferrell</span> at <span class="rel-source"><a href="https://science.nd.edu/news-and-media/news/alumni-spotlight-broad-focus-yet-targeted-for-career-development/">science.nd.edu</a></span> on <span class="rel-pubdate">December 20, 2023</span>.</p>Deanna Csomo Ferrelltag:datascience.nd.edu,2005:News/1580392023-12-12T09:13:00-05:002023-12-12T09:13:03-05:00Alumni Spotlight: Data science for the social good<p>Alexa Myers has always been passionate about helping others, and she wanted to figure out a way to bring that to her work. As a Data Science Manager at <a href="https://resultant.com/">Resultant</a>, she is able to combine her love of data science and passion for the social good.</p> <p>Resultant,…</p><p>Alexa Myers has always been passionate about helping others, and she wanted to figure out a way to bring that to her work. As a Data Science Manager at <a href="https://resultant.com/">Resultant</a>, she is able to combine her love of data science and passion for the social good.</p>
<p>Resultant, located in Indianapolis, IN, focuses on helping communities thrive. When Alexa began at the company in April 2020, she was trying to figure out her next career goal. She started as a Junior Data Scientist and immediately saw a need for data scientists to be able to communicate with those who are non-technical. She asked herself, what if our leaders also understood what was going on behind the scenes? Finding out the answer to that question is what inspired her to go back to school.</p>
<p>When searching for a graduate school, Alexa wanted a program that emphasized data science storytelling. This led her to apply to <a href="https://datascience.nd.edu/">Notre Dame’s Online Master’s in Data Science program</a>, where she was accepted and began classes in the fall of 2021.</p>
<h3><em>“One of the biggest things that I liked about the program was that classes were taught live. The faculty were accessible, and they helped us to succeed. We wouldn’t just meet during class and work on homework together - we would interact, ask questions, and learn from each other. We live in a world now that allows us to connect and learn from anywhere, and this program created a foundation for that community.”</em></h3>
<p> </p>
<p>During her time in the program, Alexa attended many of the immersion weekends that allowed students, faculty, and staff to spend time together and learn more about what is happening in the data science field. These experiences helped to solidify her decision to attend the University of Notre Dame.</p>
<p>“These events brought us together as a cohort and helped to foster the community that we were in. Being able to see alumni or others in the data science field and talk about current topics was so helpful.”</p>
<p>Over the course of 21 months, the students learn a variety of topics on everything from machine learning and AI to ethics and storytelling. For Alexa, there were many lessons she took from the <a href="https://datascience.nd.edu/programs/masters/curriculum/">curriculum</a>, but there were two that stood out to her that she has directly applied to her work.</p>
<p>“First, the Data Science Process that <a href="https://datascience.nd.edu/people/roger-woodard/?section=/programs/masters/faculty/">Roger [Woodard]</a> had in his Introduction to Data Science course. It allowed me to lean in and take the opportunity to understand how my way of thinking is in my work. I still use that today, when we have a blocker, something comes up like looking at it from a strategic thinking standpoint of, okay, where are we at in this process? Where do we maybe need to reiterate? We really emphasize on design thinking at Resultant and the data science process is just an application of design thinking, but for my own work. So I thought, that was something that's really cool, that I continuously go back to.</p>
<p>The second thing is that I learned how to story tell with highly technical components. For example, breaking down a classification model. What does that mean breaking down and having to describe what a neural net is? Those are skill sets that I didn't have previously. I've always been a great communicator, but it taught me how to a talk in that context and to understand my audience. But I think the biggest thing is, it gave me the confidence to do that which has been super helpful in my work. It’s something that we've seen huge response to. Being able to take the information, break it down, and say, here’s what's going on under the hood, here is at every single step of the process. There is a human-centric component to it. There was buy-in across the board because now they understand it, and now they can bring it to people and also explain it to them.”</p>
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<p style="padding-left: 160px;"><img src="https://datascience.nd.edu/assets/548044/23.2.jpg" alt="Class of 2023 on the ND Stadium Terrace at Orientation " width="600" height="399"></p>
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<p>All of her hard work paid off; she was promoted to her current position and graduated in May of 2023. Earlier this year, Alexa was also awarded the <a href="https://techpoint.org/tech-25/">Tech 25 award by Tech Point</a>. This award honors individuals who are critical and exceptional performers helping to grow Indiana’s tech and tech-enabled companies. Her Senior Vice President nominated her for her strategy and innovation.</p>
<p>Now that she is done with her degree, Alexa spends her free time volunteering for different organizations, coaching cross country, and cheering for the Fighting Irish.</p>
<p>“When people stop me and say, ‘Go Irish’ when I have a Notre Dame shirt on, I feel such a sense of pride because I get to be a part of this community.”</p>
<p>Are you ready to learn more about the <a href="https://datascience.nd.edu/">Online Master's in Data Science Program</a> at Notre Dame? <a href="https://datascience-info.nd.edu/viewbook/">Click here to download our viewbook.</a></p>Samantha Adamczewskitag:datascience.nd.edu,2005:News/1569682023-10-03T20:29:00-04:002023-10-03T20:29:29-04:00Three generations of Notre Dame graduates. One final home game together.<p>On a sunny, high-60s-degree day on October 2, 1943, William “Bill” Schroeder’s father packed the family into his 1937 Studebaker and drove them from LaPorte, Indiana, to South Bend to watch the Notre Dame Fighting Irish take on Georgia Tech. It was the first time the 11-year-old Schroeder would see…</p><p>On a sunny, high-60s-degree day on October 2, 1943, William “Bill” Schroeder’s father packed the family into his 1937 Studebaker and drove them from LaPorte, Indiana, to South Bend to watch the Notre Dame Fighting Irish take on Georgia Tech. It was the first time the 11-year-old Schroeder would see his favorite team in person. </p>
<figure class="image image-right"><img src="https://science.nd.edu/assets/541928/400x600/605a8046_2.jpg" alt="605a8046 2" width="400" height="600"></figure>
<p>Eighty years later, Schroeder ’60 B.A., now 91 and slowing down with age, attended his final home game. He cheered on Notre Dame against Ohio State on September 23, 2023, with his son, Douglas “Doug” Schroeder, ’81MS (preprofessional studies) and granddaughter, Margaret “Maggie” Rose ’21MS (<a href="https://datascience.nd.edu/">Data Science</a>). Other family members with whom he has passed down his passion for the University also attended to celebrate. </p>
<p>Since his first game, Schroeder has missed only five seasons of attending at least one game. That’s 76 of 81 seasons with a seat in the stadium, through its changes and expansions. And his reasons for missing were sound. For one, Schroeder served in the Finance Corps in the Army for four years before attending Notre Dame on the GI Bill.</p>
<p>“There was 1946 and ‘47, 1953 and ‘54, and I couldn’t get a weekend pass,” Schroeder said. During those seasons, he listened to the games in Germany using a static-filled radio he bought using his military stipend. It was important to him not to miss games, especially when the tradition started long before he was born: His father saw George Gipp play in his final season in 1920 after returning home from World War I.</p>
<p>“Then, in 2020, there was Covid. So those were the only five seasons I couldn’t get to at least one home game,” he said. “It’s been quite a run.”</p>
<p>While at Notre Dame, Schroeder studied accounting in what’s now the Mendoza College of Business, and married his wife Patricia soon after graduation. Doug was born about nine months later, and Schroeder began passing down his love for the University. The loyalty eventually spread to the rest of the family.</p>
<p>“Well, I threatened them,” he said with a wry smile. “It works!”</p>
<p>He encouraged Doug to attend the University—and once Doug was accepted, he didn’t look back, graduating in 1981 after majoring in preprofessional studies. He went on to earn a doctoral degree in optometry from Indiana University.</p>
<figure class="image image-left"><img src="https://science.nd.edu/assets/541926/605a7350_2.jpg" alt="605a7350 2" width="600" height="400"></figure>
<p>Maggie, who is Doug’s daughter, earned a bachelor’s degree in engineering from Southern Methodist University, but decided that earning a master’s in data science would allow her to do more of the engineering work she enjoyed. Of course she applied to Notre Dame’s <a href="https://datascience.nd.edu/programs/">online Master’s in Data Science program</a>—because as part of Schroeder’s family, how could she not?</p>
<p>Once Schroeder, who retired from White Farm Equipment in 1994 as Chief Financial Officer, found out she had been accepted at Notre Dame, it took less than two seconds for him to offer assistance to pay a portion of the tuition.</p>
<p>“He was so excited to help make this dream come true,” she said.</p>
<p>For Schroeder, the decision was what most would describe as a no-brainer.</p>
<p>“Notre Dame is special; it’s different, you know. Their whole history is different,” he said, describing his love for the University. “There’s a connection between the church and the school, and that was a big part of it when I was growing up.”</p>
<p>He broadcasts his loyalty loud and proud, Maggie described. </p>
<figure class="image image-right"><img src="https://science.nd.edu/assets/541927/400x600/605a7623_2.jpg" alt="605a7623 2" width="400" height="600"></figure>
<p>His garage door boasts a 6-foot-tall leprechaun, and the mascot graces a stained glass window in the house. The doorbell? Yep. The Notre Dame fight song. </p>
<p>Doug and Maggie traveled from St. Louis to celebrate the Ohio State game with Schroeder, and invited others in the family, whomever could make it. Schroeder’s grandson, Robert Bachman, will attend and said he’s always enjoyed tailgating with his grandfather. Garrulous and friendly, Schroeder collected many friends through the years in their tailgate location near the former Robinson Community Center. </p>
<p>“When we go tailgating we see all the connections he has and the people that he knows, everyone’s so excited to see him,” Bachman said. “For instance, somebody came up to him at the Georgia game in 2019 and started talking to him about games past, and how he used to act, like maybe he was kind of a partier!</p>
<p>“He had this whole life before me, and I’m just kind of seeing the tail end, unfortunately,” he continued. “But I can learn about it because his memory is next to none—he can recall statistics and facts from almost any game he’s gone to years prior.” </p>
<p>Schroeder’s favorite part of attending his final game in Notre Dame Stadium, however, isn’t about how well the team played, with Ohio State eking out the win only in the final seconds (not exactly like Notre Dame’s blowout 55-13 win to Georgia Tech in 1943).</p>
<p>It’s family. </p>
<p>“It’s the family connection; it brings more camaraderie,” he said. “You know, I’m 91 years old. I don’t like to think about the coming days, but I’m in good health, and I want to enjoy what I can.”</p>
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<p class="attribution">Originally published by <span class="rel-author">Deanna Csomo Ferrell</span> at <span class="rel-source"><a href="https://science.nd.edu/news-and-media/news/three-generations-of-notre-dame-graduates-one-final-home-game-together/">science.nd.edu</a></span> on <span class="rel-pubdate">October 02, 2023</span>.</p>Deanna Csomo Ferrelltag:datascience.nd.edu,2005:News/1553842023-08-28T20:58:00-04:002023-08-28T20:58:18-04:00Three employees selected for 2023 Michiana Forty Under 40<p>The South Bend Regional Chamber released its Forty Under 40 class of 2023, which includes three staff members from Notre Dame. The chamber picks candidates from the area who exemplify a passion for career success and community engagement. In the program’s 17th class, <strong>Austin Gammage</strong>,…</p><p>The South Bend Regional Chamber released its Forty Under 40 class of 2023, which includes three staff members from Notre Dame. The chamber picks candidates from the area who exemplify a passion for career success and community engagement. In the program’s 17th class, <strong>Austin Gammage</strong>, <strong>Victoria Woodard</strong> and <strong>Mitch Olsen</strong> of the Irish blue and gold were selected.</p>
<figure class="image-right"><img src="https://ndworks.nd.edu/assets/522586/300x/40_under_40_gammage_web.jpg" alt="40 Under 40 Gammage Web" width="300" height="425">
<figcaption>Austin Gammage</figcaption>
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<p>Gammage is the director of regional development at Notre Dame. His career includes five years of experience in management and human resources with companies including Target and Sherwin-Williams. While conversing with members of the Regional Chamber of Commerce, Gammage expressed a goal to solve the lack of access to elite areas and participation of historically marginalized groups in this community. “The University has allowed me to assist in carrying out their mission of being a force for good in the world through being a part of the ND development department and talent and recruiting,” Gammage said. “I’ve been fortunate that the University has also supported me in my own personal mission, to bring diverse talent and audiences into premier spaces such as the DeBartolo Performing Arts Center. I appreciate Notre Dame’s continuous encouragement and support.” </p>
<p>As a man of faith, Gammage believes that genuine trust in Christ will produce a purposeful life. “I am truly grateful to be acknowledged amongst such a phenomenal cohort of young professionals in this area.” </p>
<p>Woodard, assistant teaching professor in the Department of Applied and Computational Mathematics and Statistics, strives to help students use technology such as AI as a learning tool, rather than misuse it. An employee for more than five years, Woodard continues to love the Irish community. </p>
<figure class="image-left"><img src="https://ndworks.nd.edu/assets/522587/300x/victoria_40_under_40_victoria_woodard_web.jpg" alt="Victoria 40 Under 40 Victoria Woodard Web" width="300" height="401">
<figcaption>Victoria Woodard</figcaption>
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<p>“I absolutely love working at Notre Dame. I have taught at a community college, four-year schools, an all-women’s college and public and private institutions, so I’ve experienced a variety of different places. I don’t have anything negative I could say about any of my previous places of employment, but Notre Dame is just a step above the rest.” </p>
<p>When asked how she felt about being included in the 2023 class of Forty Under 40, Woodard displayed a humble attitude as well as genuine appreciation. “I was so excited to hear that I was selected as a member of Michiana’s Forty Under 40 for 2023. I know some of the other people on the list this year as well as years past. They are extraordinary individuals, both professionally and personally. To be recognized among their ranks is a bit surreal to me. I felt honored to be selected for the award.” </p>
<p>Olsen, a faculty member in the Mendoza College of Business, has been a part of Notre Dame for more than seven years. As the Richard J. Huether Associate Teaching Professor of Marketing, director of undergraduate studies and assistant chair of the marketing department, Olsen has made a name for himself throughout campus. Olsen aims to help students see how all parts of business are connected and important to learn. Olsen has nothing but appreciation for the people and opportunities that helped him get to this point in his career. </p>
<p>"I am honored to be included in this year’s class of the Michiana Forty Under 40. I feel incredibly fortunate to call Michiana home and to have the opportunity to work with so many amazing people across this community — especially the faculty, staff and students at the Mendoza College of Business.”</p>
<figure class="image-right"><img src="https://ndworks.nd.edu/assets/522588/300x/mitchell_40_under_40_mitch_olsen_web.jpg" alt="Mitchell 40 Under 40 Mitch Olsen Web" width="300" height="435">
<figcaption>Mitch Olsen</figcaption>
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<p>Olsen expresses how blessed he is for the people in his life including his family and mentors who have given him guidance along the way. “I am deeply grateful to so many of them for helping me in so many ways. I would like to specifically thank accountancy professor Ken Milani for thinking of me for this Forty Under 40 list … It’s people like Professor Milani with their infectious joy, kindness and welcoming spirit that make communities great.”<br>Representing and making a difference at Notre Dame and beyond, Gammage, Woodard and Olsen all use their passionate mind and heart to make a positive impact in Michiana.</p>
<p><em>Photos provided</em></p>
<p class="attribution">Originally published by <span class="rel-author">Grace Schutt for NDWorks</span> at <span class="rel-source"><a href="https://ndworks.nd.edu/news/three-employees-selected-for-2023-forty-under-40/">ndworks.nd.edu</a></span> on <span class="rel-pubdate">July 10, 2023</span>.</p>Grace Schutt for NDWorkstag:datascience.nd.edu,2005:News/1536842023-05-30T07:53:00-04:002023-05-30T07:53:27-04:00We've extended our deadline to June 11! <p>Did you just miss applying for the May 28 deadline? We have extended the deadline until June 11 so that you can still be a part of the next cohort of Notre Dame data scientists! Here's what you need to know about the application process:</p> <ul> </ul> <h3>Where to start</h3> <ul> <li> <a href="https://datascience.nd.edu/programs/masters/"></a>
</li>
…</ul><p>Did you just miss applying for the May 28 deadline? We have extended the deadline until June 11 so that you can still be a part of the next cohort of Notre Dame data scientists! Here's what you need to know about the application process:</p>
<ul>
</ul>
<h3>Where to start</h3>
<ul>
<li>
<a href="https://datascience.nd.edu/programs/masters/" target="_blank">Explore our website to learn more about the program </a>
<ul>
<li><a href="https://datascience.nd.edu/programs/masters/prerequisites/" target="_blank">Prerequisites</a></li>
<li><a href="https://datascience.nd.edu/programs/masters/application/" target="_blank">Application Information</a></li>
<li><a href="https://datascience.nd.edu/programs/masters/financials/">Financials</a></li>
</ul>
</li>
<li><a href="https://datascience.nd.edu/news/insight-into-the-data-science-admissions-process/" target="_blank">Click here to gain insight into the admissions process so that you can learn tips to prepare a strong application</a></li>
<li>Are you an international student? <a href="https://datascience.nd.edu/programs/masters/application/international-student-faqs/" target="_blank">Check out our International Student FAQ</a> so that you can know what to expect from the program.</li>
<li><a href="https://gradconnect.nd.edu/apply/">Click here to start or continue your application.</a></li>
</ul>
<h3>Important things to know about the June 11 deadline</h3>
<ul>
<li>This is the last deadline to apply for the Fall 2023 start (graduating in May 2025)</li>
<li>No GRE is required</li>
</ul>
<h3>Questions? Let us help!</h3>
<ul>
<li><a href="https://datascience.nd.edu/events/2023/06/07/office-hours-with-notre-dame-data-science/">Join Office Hours on June 7 @ 8:00 p.m. ET</a></li>
<li>Email (<a href="mailto:datascience@nd.edu">datascience@nd.edu</a>) or text (574-475-2775) to talk with someone from our team</li>
</ul>Samantha Adamczewskitag:datascience.nd.edu,2005:News/1529182023-05-01T19:28:00-04:002023-05-01T19:28:33-04:00MS in Data Science immersion tackles uses of data in healthcare<p>Recently, an immersion weekend through the University of Notre Dame’s Online MS in Data Science program offered students the chance to delve into the topic. In January, they put their data science knowledge into practice by learning from experts in their field about the application of data science in healthcare and medicine during the in-person immersion weekend in North Carolina.</p><p>While many people own some sort of fitness tracker, how often do you really stop to consider how the data collection and analysis works? </p>
<p>Recently, an immersion weekend through the <a href="https://datascience.nd.edu/programs/masters/">University of Notre Dame’s Online MS in Data Science</a> program offered students the chance to delve into the topic. In January, they put their data science knowledge into practice by learning from experts in their field about the application of data science in healthcare and medicine during the in-person immersion weekend in North Carolina. </p>
<p>“The immersion experiences give a look into a handful of different industries and are exciting because you may learn of applications of data science you had never considered,” said student Cole Leppert, from Los Angeles, California, who works in cybersecurity analytics for Warner Brothers Discovery. </p>
<p>The master’s program is offered by the <a href="https://acms.nd.edu/">Department of Applied and Computational Mathematics and Statistics</a> (ACMS). Director <a href="https://acms.nd.edu/people/roger-woodard/">Roger Woodard</a> has said the immersions are key in a program that is mostly completed online. The immersions give students an opportunity to come together to network with alumni and corporate partners, explore the topics they are learning in class further, and spend time with their fellow classmates. </p>
<p>The immersion featured Notre Dame alumni as representatives from leading companies in the healthcare industry, including Steven LeBoeuf, CEO of Valencell, Kevin Hutchinson, vice president of state government solutions at Optum Health, Paul Tobin, director of hardware engineering at Nvidia, Brett Wujek, principle production manager at SAS, and Christina Mack, chief scientific officer at IQVIA.</p>
<p>Mack said she was impressed by the students’ attentiveness and capacity for understanding complex material. They asked probing, thoughtful questions, she said.</p>
<p>“I was struck by how engaged the students were,” she said. “They had so many thoughts and questions across the topics; it was fun to discuss what they were thinking and where they focused,” she said. </p>
<figure class="image-left"><img alt="Data Science Immersion 3" height="401" src="https://science.nd.edu/assets/515017/data_science_immersion_3.jpeg" width="600"></figure>
<p>During the weekend, the students heard lectures and panel discussions, and they built an algorithm, using fitness tracker data, to predict body movement—whether someone is walking, climbing stairs, or doing jumping jacks. </p>
<p>“Being able to connect with my peers and work together on deriving an algorithm that had the potential to impact health and fitness, even if on a small scale, really energized me and reminded me of how powerful and meaningful the applications of data science can be,” said student Megan Hammond, from Ann Arbor, Michigan, who works as an account strategist at Google.</p>
<p>Learning about the immersion topic is important, Woodard noted, but it’s not the only important aspect of the immersion. </p>
<p>“I think the most rewarding aspect of the immersion experience for students is the opportunity to make contacts with experts in the field and the Notre Dame network,” he said.</p>
<p>Leppert and others agreed.</p>
<p>“Data science is really broad and quickly progressing, so it is exciting to hear from industry leaders and get real insight into the powerful ways companies are leveraging data today,” he said. But spending time with others in the course was a highlight. </p>
<p>“You get to know people throughout the program over each semester, but nothing is the same as being in person together and getting to spend time outside of the (virtual) classroom.” </p>
<p>For Hammond, the benefit of the ND’s online MS in data science program stems from the opportunities for real world learning applications and the strong sense of service and community.</p>
<p>“There are many online data science programs, but I have yet to see another program of the same academic caliber that provides real-world experiences and is rooted in being a force for good in the world,” Hammond said. </p>
<p>Leppert was drawn to the program because of the flexibility offered to working-professionals, opportunity to receive a world-class education, and fostering of relationships. </p>
<p>“The most rewarding thing about the program is undoubtedly the people,” Leppert said. “The program connects you with incredible faculty and allows you to build meaningful relationships with your classmates, who are spread across time zones and work in a number of industries, to form a wonderful group of diverse perspectives.”</p>
<p>In addition to the primary speakers, the immersion weekend featured a panel of Notre Dame alumni who hire data scientists included Avisek Choudhury of Avanade, Aniket Desai of Fractal, Jessica Higgins Ph.D. of Atorus Research, Gregory Nemecek of UnitedHealth Group, and Michael Sayer of Children's Mercy Kansas City.</p>
<p class="attribution">Originally published by <span class="rel-author">Caroline Crawford</span> at <span class="rel-source"><a href="https://science.nd.edu/news-and-media/news/ms-in-data-science-immersion-tackles-uses-of-data-in-healthcare/">science.nd.edu</a></span> on <span class="rel-pubdate">May 01, 2023</span>.</p>Caroline Crawfordtag:datascience.nd.edu,2005:News/1521422023-04-04T07:25:00-04:002023-04-04T08:17:16-04:00Faculty Interview: Data Science Ethics & Policy<p>Explore data ethics & its impact on society in an interview with a Notre Dame faculty member. Delve into the complexities of data ethics with an expert!</p><p><strong>Data Ethics Play a Critical Role in Protecting People & Society</strong></p>
<p style="margin-bottom:8px; margin-top:8px">As the world becomes increasingly digital and data driven, the role of data scientists—and their commitment to data ethics—grows in importance and impact. This drives the University of Notre Dame’s mission to ensure that students understand and can apply data ethics to make the most positive impact possible in their careers.</p>
<p style="margin-bottom:8px; margin-top:8px">“Automatic processes of action, recommendation, and knowledge are being embedded in systems all around us—on our phones, on our computers, etc. Handling this information is a very big responsibility. If it’s mismanaged, it can have big impacts on millions of end users,” says <a href="https://altech.nd.edu/contact/john-behrens-bio/" target="_blank">John Behrens</a>, professor of the practice and concurrent professor of data science in the Department of Applied and Computational Mathematics and Statistics.</p>
<p style="margin-bottom:8px; margin-top:8px">As he describes, ethical data science means appropriately serving the end user and society at all stages of the data science process, from collecting and protecting data to applying the most appropriate data science techniques and communicating results in a way that leads to positive impacts. </p>
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<p style="margin-bottom:8px; margin-top:8px"><strong>Why Applied Data Science Ethics Are So Important Today</strong></p>
<p style="margin-bottom:8px; margin-top:8px">In the past, data science was primarily focused on learning from data and communicating findings to other humans. Today, computers are heavily involved in the process. As computing becomes ubiquitous, data science acts as the central point that determines how computers will act and respond to human actions.</p>
<p style="margin-bottom:8px; margin-top:8px">Data science outputs are no longer only designed for humans to understand. Instead, outputs may recommend topics in your social media newsfeed or suggest products to purchase based on your interests and previous buying history.</p>
<p style="margin-bottom:8px; margin-top:8px">“Using data science, computers are doing things not necessarily for insight but for action in the world,” he describes. “As a result, data scientists need to understand what the algorithms are doing, how they interact with the data, and what the societal impacts are. For example, what are the consequences if everyone receives different news, and everyone views what’s happening in the world differently as a result?”</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<p style="margin-bottom:8px; margin-top:8px"><strong>Learning About Ethical Data Science Practices</strong></p>
<p style="margin-bottom:8px; margin-top:8px">In his <a href="https://datascience.nd.edu/programs/masters/curriculum/" target="_blank"><em>Ethics and Policy in Data Science</em></a> course, Behrens relies on his 20+ years of experience in leading data science teams to prompt discussions about philosophical basis for data science and data ethics, as well as the data science process.</p>
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<h3 style="margin-bottom:8px; margin-top:8px"><em>“We teach data ethics in a very practical way. We go through the data science process and discuss relevant issues at each stage. It’s very hands-on and concrete while also focusing on larger societal contextual issues. We want to create leaders in data science and help students get beyond basic vocabulary to use real tools so they can become the best—and most ethical—data scientists they can be.”</em></h3>
<p style="margin-bottom:8px; margin-top:8px">-John Behrens, Professor of the Practice and Instructor for <em>Data Science Ethics and Policy</em>, Notre Dame</p>
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<p style="margin-bottom:8px; margin-top:8px">In class, Behrens encourages students to think about questions like:</p>
<ul>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">What are the goals for the project, and what are the ethical implications of those goals?</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">What types of bias, limitations, or blind spots are you building into your project hiring and management?</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Is data being collected and secured following best practices?</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Are the most appropriate statistical techniques being used?</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">What are the relevant legal and professional frameworks that apply to this work?</li>
</ul>
<p style="margin-bottom:8px; margin-top:8px">After discussing project definition and organizational dynamics, the class discusses best practices in data collection and data management, followed by statistical and computing best practices and ethics of data collection. Conversations then shift to how information will be used and communicated—and what its effects will be.</p>
<p style="margin-bottom:8px; margin-top:8px">Throughout the course, students create their own data ethics checklists at each stage of the data science process. By the end, they have a practical workbook they can use in their future work to guide decision-making on any project across all phases of the data science cycle—from the ethics of data collection to communicating results.</p>
<p style="margin-bottom:8px; margin-top:8px">“To make it concrete, we read papers, have discussions, and talk a lot about what’s going on in the world—and with everyone’s work,” he explains. “<strong>We bring a societal lens to what’s learned in the classroom, and it empowers students to see the world in new ways</strong>.”</p>
<p>A case study he references frequently is one about a large technology company that used predictive modeling to automate talent searches. Because the algorithms were trained on data with historical bias against hiring women for technical roles, women were often excluded from the lists of hiring recommendations even when they were highly qualified.</p>
<div>
<p style="margin-bottom:8px; margin-top:8px">Behrens uses this as an example of what can happen when the data scientists and organizational leaders are not thinking deeply about processes, the meaning in the data, or data ethics principles, along with statistical and societal implications.</p>
<p style="margin-bottom:8px; margin-top:8px">During the course, he also weaves in discussions about the <a href="https://www.whitehouse.gov/ostp/ai-bill-of-rights/" target="_blank">AI Bill of Rights</a>, which was released in 2022 by the U.S. Office of Science and Technology Policy to guide the design, use, and deployment of automated systems through five protection principles:</p>
<ol>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Protection from unsafe and ineffective systems</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Protection from algorithmic discrimination and assurance that systems will be designed and used in an equitable way</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Protection from abusive data practices</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Access to plain language that explains when automated systems are being used and outcomes that could impact users</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">The ability to opt out from automated systems and use human alternatives when appropriate</li>
</ol>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<p style="margin-bottom:8px; margin-top:8px"><strong>The World Needs Ethical Data Science Leaders</strong></p>
<p style="margin-bottom:8px; margin-top:8px">Careers are growing across the field of data science as organizations look to hire ethical data science professionals who can conduct system and process audits and create a framework for data ethics. As processes become more automated, there’s a bigger need for people who understand data science and data science ethics at multiple levels and can think about both technical and societal issues.</p>
<p style="margin-bottom:8px; margin-top:8px">“We want students to understand the responsibility and potential impacts and be able to articulate those,” explains Behrens. “In the future, if they’re in a meeting and someone says, ‘Let’s collect this data because we can,’ our students will know enough about the societal and legal implications to say, ‘Is this the best approach? Maybe we need to talk to legal counsel or product management first.’ <strong>This makes them more than just technical contributors—they become leaders</strong>.”</p>
<a href="https://datascience.nd.edu/programs/masters/" target="_blank">Learn more </a>about Notre Dame’s online master’s in data science program and its focus on educating three-dimensional data scientists who are supported by solid philosophical, ethical, and computational ethical frameworks that support technical and organizational leadership excellence.
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</div>Stafftag:datascience.nd.edu,2005:News/1514412023-03-28T09:50:00-04:002023-04-12T10:33:02-04:00Fields of Data Science: A Focus on Cybersecurity<p>Explore fields of data science & find your career path. Learn about roles, requirements & advice from successful alumni. Discover your future in data science.</p><h2><strong>Data Science Roles Span All Fields and Industries</strong></h2>
<p style="margin-bottom:8px; margin-top:8px">The fields of data science aren’t contained only to data modeling or mathematical knowledge. Data science spans every person, organization, and industry, which presents a big opportunity to turn information into value in almost every situation.</p>
<p style="margin-bottom:8px; margin-top:8px">Hunter Kempf ’20, machine learning engineer, threat intelligence, at Cloudflare, is seeing first-hand how different industries ultimately intersect with data science.</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Fields of Data Science: Experiencing Their Impact </strong></h3>
<p style="margin-bottom:8px; margin-top:8px">After earning his undergraduate degree, Kempf joined the rotational <a href="https://life.att.jobs/a-look-at-our-development-programs" target="_blank">Technology Development Program</a> at AT&T, which helps recent graduates gain experience as software engineers, data analysts, technical business managers, and network engineers.</p>
<p style="margin-bottom:8px; margin-top:8px">Right away, he noticed the emphasis leaders placed on data science skills. After seeing his coworkers use data science to develop actionable insights that led to real progress and helped the company realign its business strategy, he wanted to develop his own skills on the job and learn more about the fields of data science.</p>
<p style="margin-bottom:8px; margin-top:8px">In his data science role, he was able to visualize labor, budgets, and actuals for development projects and unit costs for PxQ projects while also creating financial models to predict estimated spend per month for long-term projects.</p>
<p style="margin-bottom:8px; margin-top:8px">“I ended up doing a fair amount of dashboard creation and Excel reporting, and that sparked my interest in building programming and coding into my workflow,” he explains.</p>
<p style="margin-bottom:8px; margin-top:8px">To expand on these capabilities, he decided to earn his <a href="https://datascience.nd.edu/programs/masters/" target="_blank">online master’s in data science</a> at the University of Notre Dame. From the very first semester, he was able to apply what he learned to his work. This eventually led to a data scientist role at AT&T before he joined Cloudflare as a machine learning engineer in threat intelligence.</p>
<p style="margin-bottom:8px; margin-top:8px">During his last few years at AT&T, he found himself focusing on fraud and cyber data use cases—and that emphasis continues at Cloudflare.</p>
<p>Today, he works on language processing, e-mail threat detection and prevention, and identifying and classifying network traffic. “In some cases, I’m finding rules that fit a situation and applying them,” he explains. “For example, I’ll take the data and determine whether we can find an if/else rule and apply it. If it’s complicated enough, then we create a model, so I determine what type of model will work best.”</p>
<p style="margin-bottom:8px; margin-top:8px">Through these experiences at AT&T and Cloudflare, he has drawn a strong connection between the fields of data science and cybersecurity.</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Finding a Connection: The Relationship Between Fields of Data Science and Cybersecurity</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">No company or industry is exempt from data breaches or cyberattacks. Bad actors are getting smarter every day, using new and more sophisticated techniques to gain access to the information they want.</p>
<p style="margin-bottom:8px; margin-top:8px">As a result, many cybersecurity tools and experts now rely on various fields of data science to sort through data patterns, determine where and how companies are most vulnerable, make accurate predictions, and identify ways to reduce risk.</p>
<p style="margin-bottom:8px; margin-top:8px">After thorough data analysis, for example, data science professionals—such as data analysts, machine learning engineers, and analytics engineers—can create algorithms to predict and respond to cyberthreats. Based on what the algorithms experience, they can inform artificial intelligence and machine learning systems so cybersecurity efforts continue to improve over time.</p>
<p style="margin-bottom:8px; margin-top:8px">Because of the sheer amount of data being generated, Kempf believes that cybersecurity and data science will always be interrelated. “Plenty of machine learning models end up in production because humans don’t have the capacity to manage this much data,” he explains. “It would slow down the process to have people identifying malware or phishing attempts. The rule-based techniques used in the past no longer hold up in this changing cybersecurity environment, so data science is playing a bigger role every day—and becoming an important part of the cybersecurity toolbelt.”</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Domain Expertise Starts with a Solid Data Science Foundation</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">Developing domain expertise in a certain area—such as cybersecurity—can make you highly marketable for data science roles. The key, however, is to build foundational data science knowledge first.</p>
<p style="margin-bottom:8px; margin-top:8px">One of the foundational skills Kempf has found to be most important is communication. It’s critical whether you become a data analyst, machine learning engineer, analytics engineer, or other types of data science professional.</p>
<hr>
<h3><em>“Effectively communicating technical content is very difficult, but Notre Dame offers an <a href="https://datascience.nd.edu/programs/masters/curriculum/" target="_blank">entire course on technical storytelling</a> and visualizations. These skills can be some of the biggest distinguishers between an average data scientist and a really good data scientist. You can have the best model with the best results, but if no one understands it, then you could lose funding or stall your project.”</em></h3>
<p style="margin-bottom:8px; margin-top:8px">-Hunter Kempf, Machine Learning Engineer, Threat Intelligence, Cloudflare</p>
<hr>
<p style="margin-bottom:8px; margin-top:8px">Other important foundational skills include:</p>
<ul>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Using powerful tools to analyze data</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Unpacking the stories big data can tell</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Approaching data analysis ethically</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Creating linear models</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Understanding databases, data security, and data visualization</li>
</ul>
<p style="margin-bottom:8px; margin-top:8px">Once your foundational skills are in place, then you can build domain expertise in a secondary area. In Kempf’s case, that area was cybersecurity.</p>
<p style="margin-bottom:8px; margin-top:8px">“This is one way you can distinguish yourself,” says Kempf. “You can combine your data science skills with whatever you find interesting or have previous experience in. It could be media, sports, cybersecurity, healthcare, retail, agricultural, or anything else. That specialized expertise elevates you as a candidate, as well as the quality of work you can produce.”</p>
<p style="margin-bottom:8px; margin-top:8px">For example, his understanding of cybersecurity helps him build better data science models. Especially in a world full of cyber threats, it’s important to find a balance between speed and safety. A model needs to be secure—but it also needs to be fast. Otherwise, as Kempf explains, the business may not use it.</p>
<p style="margin-bottom:8px; margin-top:8px">“When you start with the fundamentals of data science first,” he explains, “then you’re prepared to jump into niche roles where you can apply your expertise.”</p>
<p style="margin-bottom:8px; margin-top:8px">Is it time to start building your own foundation and discover the fields of data science? <a href="https://datascience.nd.edu/programs/masters/" target="_blank">Learn more</a> about Notre Dame’s online master’s in data science program. You’ll be prepared to fill critical data science roles like a data analyst, machine learning engineer, or analytics engineer.</p>
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</div>Stafftag:datascience.nd.edu,2005:News/1519702023-03-27T09:30:00-04:002023-05-27T11:35:34-04:00What to know for our May 28 Deadline<p>Our May 28 deadline is the last deadline for a Fall 2023 start! We have compiled a list of resources for you so that you have everything you need to apply to the Online Master's in Data Science Program. </p> <h3>Important things to know about the May 28 deadline</h3> <ul> <li>This is the last deadline</li>
…</ul><p>Our May 28 deadline is the last deadline for a Fall 2023 start! We have compiled a list of resources for you so that you have everything you need to apply to the Online Master's in Data Science Program. </p>
<h3>Important things to know about the May 28 deadline</h3>
<ul>
<li>This is the last deadline to apply for the Fall 2023 start (graduating in May 2025)</li>
<li>No GRE is required</li>
</ul>
<h3>Where to start</h3>
<ul>
<li>
<a href="https://datascience.nd.edu/programs/masters/" target="_blank">Explore our website to learn more about the program </a>
<ul>
<li><a href="https://datascience.nd.edu/programs/masters/prerequisites/" target="_blank">Prerequisites</a></li>
<li><a href="https://datascience.nd.edu/programs/masters/application/" target="_blank">Application Information</a></li>
<li><a href="https://datascience.nd.edu/programs/masters/financials/">Financials</a></li>
</ul>
</li>
<li><a href="https://datascience.nd.edu/news/insight-into-the-data-science-admissions-process/" target="_blank">Click here to gain insight into the admissions process so that you can learn tips to prepare a strong application</a></li>
<li>Are you an international student? <a href="https://datascience.nd.edu/programs/masters/application/international-student-faqs/" target="_blank">Check out our International Student FAQ</a> so that you can know what to expect from the program.</li>
<li><a href="https://gradconnect.nd.edu/apply/">Click here to start or continue your application.</a></li>
</ul>
<h3>Questions? Let us help!</h3>
<ul>
<li>Email (<a href="mailto:datascience@nd.edu">datascience@nd.edu</a>) or text (574-475-2775) to talk with someone from our team</li>
</ul>Samantha Adamczewskitag:datascience.nd.edu,2005:News/1514392023-03-22T07:55:00-04:002023-03-23T12:23:27-04:00Alumni Spotlight: Notre Dame Women in Data Science<p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">Discover the inspiring stories of Notre Dame women in data science. Read about their careers and achievements, and how they are making a difference in the field.</span></span></p><h2><strong>The Future of Data Science Depends on Women</strong></h2>
<p style="margin-bottom:8px; margin-top:8px">Historically, women have been remarkably underrepresented in the field of data science, but that narrative is shifting.</p>
<p style="margin-bottom:8px; margin-top:8px">As data science becomes one of the most <a href="https://www.bls.gov/ooh/math/data-scientists.htm">in-demand and fastest-growing career paths</a> in the country, we’re now seeing more women in data science—and the powerful impact they can have.</p>
<p style="margin-bottom:8px; margin-top:8px">A <a href="https://www.burtchworks.com/wp-content/uploads/2021/06/Burtch-Works-Study-DS_Analytics-2021.pdf">recent study on the future of data science</a> from Burtch Works, an executive recruiting agency, reveals that the number of women in data scientist roles is now at 24—an increase of nearly 10% since 2018.</p>
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<p style="margin-bottom:8px; margin-top:8px"><strong>Women in Data Science: Why They’re Critical</strong></p>
<p style="margin-bottom:8px; margin-top:8px">Data is shaping the future in every way. It’s changing how we live, work, and play. As more data is generated through connected machines, devices, and platforms, there’s a growing need for <a href="https://datascience.nd.edu/programs/masters/curriculum/">three-dimensional data scientists.</a> These professionals have a deep understanding of math and statistics, can clearly translate data to actionable insights, and possess strong critical thinking skills supported by a solid ethical framework. Notre Dame’s ability to empower students with these invaluable skills is just one reason we’re named a <a href="https://onlinegraduateprograms.net/10-best-online-master-of-data-science-programs/">top 10 online graduate program</a> in data science.</p>
<p style="margin-bottom:8px; margin-top:8px">Making sure women are well-represented in these roles brings many benefits. For example, it helps mitigate biases and encourages alternative viewpoints when searching for patterns and building algorithms. It also ensures that the needs of other female customers and employees are addressed.</p>
<p style="margin-bottom:8px; margin-top:8px"><em>“Women bring an advantage in this field because we have a unique viewpoint,” </em>explains Kaitlyn Arnold ’21, advisory data and AI technical specialist at IBM. <em>“If you’re passionate about technology and data, then data science is a great fit. Depending on what you want to do, you can be behind the computer every day, programming and collecting, cleaning, and analyzing data—or you can be in front of people every day asking questions, finding answers, and very rarely doing that type of work. Because there are so many different variations of data science, you can find your place.”</em></p>
<p style="margin-bottom:8px; margin-top:8px">Career opportunities abound for women in data science and women in machine learning. They can fill critical roles, such as:</p>
<ul>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Business analyst</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Business intelligence analyst</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Data analyst</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Data mining engineer</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Data storyteller</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Machine learning engineer</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Market intelligence director</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Statistician</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Technology intelligence consultant</li>
</ul>
<p style="margin-bottom:8px; margin-top:8px">Arnold found her career fit at IBM, where she sells data science and AI solutions to chief technology officers, chief innovation officers, and data science managers in the financial services market—people who know and understand big data. Instead of working behind a computer screen, she wanted to spend her time networking, helping clients find solutions, and discovering the art of what’s possible with data.</p>
<p style="margin-bottom:8px; margin-top:8px"><em>“Sometimes I’m the only woman in the room. But females in technology, and in data science specifically, have a leg up because of the perspective they bring—especially if they’re willing to speak a little bit louder to make sure their voices are heard.”</em></p>
<p style="margin-bottom:8px; margin-top:8px">-Kaitlyn Arnold, Advisory Data and AI Technical Specialist at IBM</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<p style="margin-bottom:8px; margin-top:8px"><strong>Start Your Own Career in Data Science</strong></p>
<p style="margin-bottom:8px; margin-top:8px">To begin or advance your career in data science, Arnold recommends looking for data science programs that put math and statistics at the forefront. “With this kind of educational background, you’ll breeze through nearly any situation,” she explains. “It lays the groundwork for everything. Foundationally, data science graduates from the University of Notre Dame are at vastly different levels than graduates from other data science programs. <strong>I was better prepared because of how this program is structured.</strong>”</p>
<p style="margin-bottom:8px; margin-top:8px">She also emphasizes the importance of looking for a program that provides real-world opportunities. Arnold works with many other data science professionals on her team, but some have never made machine learning models or worked with powerful analysis tools—things she experienced while earning a <a href="https://datascience.nd.edu/programs/masters/">master’s in data science</a> at Notre Dame. “While you may not need that background to succeed in a role like this, it certainly makes me feel more confident,” she says, “which makes me 100 times better at my job.”</p>
<p style="margin-bottom:8px; margin-top:8px">The next step is to think about the types of data science roles you might be interested in—and then find women in data science who work in those roles so you can learn more about what they do. “Those women are out there,” says Arnold. “Read, look for people on LinkedIn, or even if you hear someone talking about data science at a restaurant—make those connections.”</p>
<p style="margin-bottom:8px; margin-top:8px">Finally, she encourages women in data science to get involved with nonprofit data science organizations, such as <a href="https://www.womenindata.org/">Women in Data</a>. The group brings female professionals together to share their real-world experiences in data science roles and working with data science organizations.</p>
<p style="margin-bottom:8px; margin-top:8px">Arnold got her professional start in data science as the creative strategy and growth manager for Women in Data. She also helped the nonprofit open its New York chapter. “I’ve watched the organization grow and watched people swarm to it because it’s about helping females grow and learn about the field.”</p>
<p style="margin-bottom:8px; margin-top:8px">Today, she continues to support women in data science by serving as a speaker and instructor for Women in Data, even leading a Python course last year for people displaced from their jobs because of the pandemic.</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<p style="margin-bottom:8px; margin-top:8px"><strong>For</strong><strong> </strong><strong>Women, the Future of Data Science Looks Bright </strong></p>
<p style="margin-bottom:8px; margin-top:8px">“I’m sure some men experience this, too, but, in one way or another, you will get knocked down,” describes Arnold. “The only way to combat that is to continuously learn, work on yourself, and grow personally and professionally.”</p>
<p style="margin-bottom:8px; margin-top:8px">As data generation and usage accelerate, all types of businesses and data science organizations will be looking for the best and brightest in the field: women in data science or women in machine learning who can shape raw data into relevant stories and insights that influence decision-making and reveal how to improve business and create new offerings.</p>
<p style="margin-bottom:8px; margin-top:8px">“Data science has the potential to solve some of the world’s most complex problems,” says Arnold. “The more diversity you can get in data science, the more minds you have in the room to help solve those problems. That will make the solutions better, more scalable, and more long-lasting. <strong>Having women in the room is going to change the world—and the future of data science</strong>.”</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<p style="margin-bottom:8px; margin-top:8px">Ready to join women in data science and experience the Notre Dame Edge? <a href="https://gradconnect.nd.edu/apply/">Apply today.</a></p>
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</div>Stafftag:datascience.nd.edu,2005:News/1514372023-03-15T08:13:00-04:002023-03-23T12:24:56-04:00How to Get Your Company to Help Pay for Graduate School<p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">Learn how to get your company to finance your education, including information on the best ways to approach your employer.</span></span></p><h3><strong>Company-Sponsored Education: Master’s in Data Science Degrees</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">Data science is one of the fastest-growing careers throughout the world. In the United States alone, the <a href="https://www.bls.gov/ooh/math/data-scientists.htm" target="_blank">U.S. Bureau of Labor Statistics</a> projects 13,500 new jobs for data scientists every year over the next decade. Whether you work in tech, healthcare, the military, or business, there’s a good chance your employer could benefit from data science—or might already be looking to add data scientists to their team.</p>
<p style="margin-bottom:8px; margin-top:8px">If you’re interested in a data science role within your organization, many employers offer company-sponsored education, or at least partial tuition reimbursement, to help you develop work-related skills. Taking advantage of employer-sponsored education is one way to become an adaptable, <a href="https://datascience.nd.edu/programs/masters/curriculum/" target="_blank">three-dimensional data scientist</a> and advance within your company.</p>
<p style="margin-bottom:8px; margin-top:8px">So, how can you get your company to help finance your education?</p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>1. Find out what your employer offers—and if there’s any flexibility within the company-sponsored education policy.</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">Many employers, including <a href="https://www.forbes.com/advisor/student-loans/jobs-that-pay-for-college/" target="_blank">leading companies </a>like Apple, <a href="https://about.att.com/csr/home/reporting/issue-brief/workforce.html" target="_blank">AT&T</a>, Boeing, Epic, DirecTV, Raytheon, and the Walt Disney Company, offer tuition reimbursement or other company-sponsored education benefits. As of 2019, about <a href="https://www.statista.com/statistics/554081/percent-of-us-employers-offering-education-benefits/" target="_blank">47% of employers </a>in the United States offered some type of employer-sponsored education for employees. Tuition reimbursement from employers can range from single courses to much higher amounts—<a href="https://www.intel.com/content/dam/jobs/documents/intelbenefits-infographic.pdf" target="_blank">Intel</a>, for example, pays up to $50,000 per program.</p>
<p style="margin-bottom:8px; margin-top:8px">Most tuition reimbursement from employers only covers a portion of a degree program, so you’ll want to research what “employer-sponsored education” means at your company. Beyond tuition reimbursement, ask your employer if your company can sponsor other parts of a degree program, such as:</p>
<ul>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Books and supplies</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Computer hardware and software</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Travel, conferences, or <a href="https://datascience.nd.edu/news/data-science-immersions-student-experiences/" target="_blank">immersions</a>
</li>
</ul>
<p style="margin-bottom:8px; margin-top:8px">Immersions and conferences provide benefits beyond immediate education, including networking opportunities, industry insights, and information on special topics. Your employer may be willing to cover costs associated with your degree program that aren’t reflected in the tuition, especially if it means you can share valuable information or training with your team.</p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>2. Do your research. Which program will provide you and your employer the most value in the long run?</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">Maybe you’re already working with data and want to make it your full-time role, or maybe you’re changing careers within your organization. Regardless, it can be challenging to figure out the first step to attaining that goal. <a href="https://datascience.nd.edu/news/is-a-masters-in-data-science-worth-it/" target="_blank">Is a master’s in data science worth it?</a> Or should you take an individual course? How will you balance your academic and personal life with your professional commitments?</p>
<p style="margin-bottom:8px; margin-top:8px">You’ll want to answer these questions before you go to your employer about utilizing company-sponsored education benefits. If you’re comparing ways to advance in your career, in addition to considerations like the cost, hard skills you need, or job you want, consider the program’s <strong>overall value</strong>.</p>
<p style="margin-bottom:8px; margin-top:8px">Ask the following questions:</p>
<ul>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">What benefits will this program provide beyond the immediate future? Consider skills, networking opportunities, and curriculum.</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">After graduation, will I have a competitive edge in the job market outside of my organization? Will I be able to adapt to changes in the data science industry?</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Does the program fit various learning styles, or only cater to one?</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Is the program designed for working professionals?</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">Will I be able to apply what I’ve learned immediately to my work?</li>
</ul>
<p style="margin-bottom:8px; margin-top:8px">Whether you take a single course or complete a graduate degree, learning data science is an investment. These questions can help you determine how worthy that investment will be long-term.</p>
<p style="margin-bottom:8px; margin-top:8px"><em>“[Data collection and analysis] was only about 25% of my time. The other 75% was spent on consulting with clients and health systems on software configuration. But I realized I wanted that 25% to become 100% of my work … I wouldn’t have gotten that role if I wasn’t on my way to getting [<a href="https://datascience.nd.edu/programs/masters/" target="_blank">a master’s in data science</a>] degree. It gave me the tools I needed to crush the interview, answer technical questions, and present a case study of a big data set to the CTO.” –<a href="https://datascience.nd.edu/news/evan-welsh-helps-organizations-make-the-most-of-healthcare-data-science/" target="_blank"> Evan Welsh</a>, Senior Data Analyst at Vida Health</em></p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>3. Make the value proposition clear. Why should your company help fund your degree?</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">While employer-sponsored education is marketed as an employee benefit, it ultimately benefits your employer as well. When you’re ready to ask your employer to finance your education, ensure that you know what makes it worthwhile for your company. Include the hard skills you’ll learn, along with additional advantages such as project-based learning. However, make sure to emphasize the program’s return on investment. Leverage information about the value of promoting an internal candidate. Discuss information about the school—what makes the program trustworthy? What coursework might you be able to apply right away? How will this program improve your performance, both immediately and over the long term? Be ready to sell the program and, ultimately, yourself when you’re looking for tuition reimbursement from your employer.</p>
<p style="margin-bottom:8px; margin-top:8px"><em>“People at work already knew me as the ‘data guy,’ but now we can really get things done since I’ll have this degree under my belt. <strong>I help my team members</strong> think through the data science method and data science storytelling. I can actually engage in <strong>changing the entire culture</strong> of my organization because of the new processes and technical skills I now have.” – <a href="https://datascience.nd.edu/news/ryan-woodbury-uses-data-science-storytelling-to-change-workplace-culture/" target="_blank">Ryan Woodbury</a>, Senior Data Analyst for DIRECTV</em></p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>Gain the Notre Dame Edge in Our Online Data Science M.S.</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">If you want to set yourself apart in your organization and outside of it, learn more about Notre Dame’s <a href="https://datascience.nd.edu/news/ryan-woodbury-uses-data-science-storytelling-to-change-workplace-culture/" target="_blank">master’s in data science program</a>. In this respected program, you’ll learn essential cutting-edge data science concepts and skills, including <a href="https://datascience.nd.edu/news/course-spotlight-data-visualization-masters-course/" target="_blank">data visualization</a>, natural language processing, R and Python programming, and advanced machine learning. Beyond gaining the tools you’ll need for data analysis, you’ll also examine ethical considerations in data science and build your communication skills.</p>
<p style="margin-bottom:8px; margin-top:8px">Crucially, Notre Dame’s program prepares you to apply what you’ve learned right away in real-world contexts—a key differentiator to highlight when asking your employer to finance your education. Our students often share that they’ve been able to take course concepts and skills to work, sometimes as soon as the next day. Beyond immediate application, you’ll also develop a big-picture view of data science, learning how to adapt to the ever-changing environment and new technologies.</p>
<p style="margin-bottom:8px; margin-top:8px">In other words, our program provides value <strong>now</strong> <strong>and</strong> <strong>in the future</strong> for both you and your employer.</p>
<p style="margin-bottom:8px; margin-top:8px">Sound like a program for you? <a href="https://datascience-info.nd.edu/viewbook/" target="_blank">Download our guide</a> for more information, <a href="https://datascience.nd.edu/events/" target="_blank">view upcoming events</a> or a <a href="https://www.youtube.com/watch?v=funm9Wp0tyg" target="_blank">past student-led information session</a>, or <a href="https://gradconnect.nd.edu/apply/" target="_blank">apply today</a>. You can also <a href="mailto:datascience@nd.edu">talk to our team</a> about company-sponsored education and what it could mean for you.</p>Stafftag:datascience.nd.edu,2005:News/1515612023-03-09T08:25:00-05:002023-03-24T10:00:46-04:00What to know for our March 26 Deadline<p>Our March 26 deadline is quickly approaching! We have compiled a list of resources for you so that you have everything you need to apply to the Online Master's in Data Science Program. </p> <h3>Important things to know about the March 26 deadline</h3> <ul> <li>This is our scholarship deadline - if</li>
…</ul><p>Our March 26 deadline is quickly approaching! We have compiled a list of resources for you so that you have everything you need to apply to the Online Master's in Data Science Program. </p>
<h3>Important things to know about the March 26 deadline</h3>
<ul>
<li>This is our scholarship deadline - if you are looking to apply for a departmental scholarship or you are working for AT&T this is the deadline you need to apply by. If you apply after the March 26 deadline, scholarship opportunities may not be available. </li>
<li>No GRE is required. </li>
</ul>
<h3>Where to start</h3>
<ul>
<li>
<a href="https://datascience.nd.edu/programs/masters/" target="_blank">Explore our website to learn more about the program </a>
<ul>
<li><a href="https://datascience.nd.edu/programs/masters/prerequisites/" target="_blank">Prerequisites</a></li>
<li><a href="https://datascience.nd.edu/programs/masters/application/" target="_blank">Application Information</a></li>
<li><a href="https://datascience.nd.edu/programs/masters/financials/">Financials</a></li>
</ul>
</li>
<li><a href="https://datascience.nd.edu/news/insight-into-the-data-science-admissions-process/" target="_blank">Click here to gain insight into the admissions process so that you can learn tips to prepare a strong application</a></li>
<li>Are you an international student? <a href="https://datascience.nd.edu/programs/masters/application/international-student-faqs/" target="_blank">Check out our International Student FAQ</a> so that you can know what to expect from the program.</li>
<li><a href="https://gradconnect.nd.edu/apply/">Click here to start or continue your application.</a></li>
</ul>
<h3>Questions? Let us help!</h3>
<ul>
<li>Email (<a href="mailto:datascience@nd.edu">datascience@nd.edu</a>) or text (574-475-2775) to talk with someone from our team</li>
</ul>
<p> </p>Samantha Adamczewskitag:datascience.nd.edu,2005:News/1514322023-03-03T09:06:39-05:002023-03-06T08:52:47-05:00Insight Into the Data Science Admissions Process<p>Learn about the data science admissions process at Notre Dame, including how to write a personal statement and how to get accepted into a data science program.</p><h3><strong>How to Write a Personal Statement for a Master’s in Data Science Program</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">You’ve decided to join the <a href="https://datascience.nd.edu/why-data-science/" target="_blank">transformative field of data science</a> and pursue your master’s degree. You want to <a href="https://datascience.nd.edu/programs/masters/" target="_blank">join the ranks of successful data scientists </a>helping businesses make better decisions, shaping social discourse, and changing the world for the better.</p>
<p style="margin-bottom:8px; margin-top:8px">Applying to a respected institution is exciting, but it can feel daunting. The personal statement for a master’s program is one of the most intimidating aspects of the admissions process. To help you feel more confident in your application, we’ve shared some tips below for writing a solid statement of intent and other insights into the data science admissions process here at Notre Dame.</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Writing a Personal Statement That Stands Out: Don’t Use a Template</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">Templates abound for statements of intent online, but the point of a personal statement is that it’s <strong>personal</strong><em>—</em>that is, individual to you. It may be tempting to use a template, especially if you don’t know where to start or what to include. However, doing so limits your ability to showcase your unique story and strengths—and the admissions committee will see the difference.</p>
<p style="margin-bottom:8px; margin-top:8px">Instead, think about your goals, backstory, and what you can bring to a program. While reviewing samples can be a useful starting point, your personal statement should be original and tailored to the program to which you’re applying. Above all, don’t use the same personal statement for multiple master’s programs.</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Use Your Personal Statement to Tell Your Story</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">The best way to create a compelling personal statement is to provide a story about who you are and where you want to be. Include information about your education, current and past career experience, and what has inspired you to pursue a master’s in data science degree. Discuss any potential downfalls in your application (for example, gaps in your resume or low grades in relevant coursework), the story behind them, and how you’re going to overcome them.</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Demonstrate a Drive to Succeed</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">At Notre Dame, we look for two main criteria in prospective students: preparation and a drive to succeed. Your statement of intent, transcripts, and supplementary documents will demonstrate academic preparation, but you’ll also want to show ambition and an ability to meet the rigors of the program.</p>
<p style="margin-bottom:8px; margin-top:8px">To demonstrate your drive to succeed, include your future goals—whether that is a specific career or industry or something broader—along with any projects you’ve worked on or notable accomplishments. Discuss any relevant qualifications you have, such as courses you’ve taken in data science or experience with a programming language.</p>
<p style="margin-bottom:8px; margin-top:8px">Ultimately, you’ll want to use your data science master’s personal statement to show where your career is going and how the program fits into that trajectory.</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Why This Program? Tailoring Your Data Science Master’s Personal Statement </strong></h3>
<p style="margin-bottom:8px; margin-top:8px">Beyond telling your story and demonstrating your strengths, make sure you incorporate your reasons for applying to this specific program. For example, if you are applying to Notre Dame, you might discuss the <a href="https://datascience.nd.edu/news/data-science-immersions-student-experiences/" target="_blank">immersions</a>, <a href="https://datascience.nd.edu/programs/masters/curriculum/" target="_blank">structured curriculum</a>, or <a href="https://news.nd.edu/news/notre-dame-announces-collaboration-with-att-for-online-masters-degree-in-data-science/" target="_blank">collaboration with industry partners</a>.</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Other Tips for Navigating the Admissions Process</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">While the statement of intent is important for admission into a master’s program, admissions committees review every aspect of your application to gain a holistic understanding of your strengths and qualifications. Learn more about the admissions process at the University of Notre Dame in this video:</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<p style="margin-bottom:8px; margin-top:8px"><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/awfJ_U5p-PY" title="YouTube video player" width="560"></iframe></p>
<p style="margin-bottom:8px; margin-top:8px"><em>Program Director Roger Woodard discusses how to set yourself apart as a data science master’s program applicant.</em></p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Frequently Asked Questions About the Admissions Process and Data Science M.S.</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">If you want to know more about the admissions process or master’s in data science program at Notre Dame, view our <a href="https://datascience.nd.edu/assets/492787/website_faq_nov22.docx.pdf" target="_blank">data science program FAQ</a> outlining required application materials and other FAQs.</p>
<p style="margin-bottom:8px; margin-top:8px"><a href="mailto:datascience@nd.edu%20">Contact our team </a>any time if you still have questions about the admissions process or what to include in the data science master’s personal statement.</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Why Apply to Notre Dame’s Master’s in Data Science Program?</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">At Notre Dame, you’ll join one of <a href="https://onlinegraduateprograms.net/10-best-online-master-of-data-science-programs/" target="_blank">the top 10 online graduate programs </a>in data science and gain the knowledge and skills you need for a successful career in just 21 months. Designed for working professionals, our master’s in data science degree offers a combination of synchronous and asynchronous learning to help you master data science tools and coursework. Here, you’ll study under award-winning faculty at an institution known for excellence, innovation, and a <a href="https://www.nd.edu/about/mission/" target="_blank">mission </a>of fostering the development of mind, body, spirit, and community.</p>
<p style="margin-bottom:8px; margin-top:8px">Experience the Notre Dame Edge. <a href="https://gradconnect.nd.edu/apply/">Apply today.</a></p>
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</div>Stafftag:datascience.nd.edu,2005:News/1481042022-09-27T15:22:00-04:002022-09-27T15:22:41-04:00Join Notre Dame Data Science for their fall events!<p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">Our application is now open for a Fall 2023 start! </span></span></p> <p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">We can’t wait to</span></span>…</p><p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">Our application is now open for a Fall 2023 start! </span></span></p>
<p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">We can’t wait to welcome you to the Notre Dame Online Master’s program and are here to help you as you navigate applying to graduate school. </span></span></p>
<h3><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">Do you have questions about the program? </span></span></h3>
<ul>
<li>
<span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">Email us at </span></span><a href="mailto:datascience@nd.edu"><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal"><span style="-webkit-text-decoration-skip:none"><span style="text-decoration-skip-ink:none">datascience@nd.edu</span></span></span></span></a><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal"> or text us at </span></span><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">574-475-2775</span></span>
</li>
<li><a href="https://datascience-info.nd.edu/viewbook/" target="_blank"><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal"><span style="-webkit-text-decoration-skip:none"><span style="text-decoration-skip-ink:none">Download our student guide</span></span></span></span></a></li>
<li>
<a href="https://datascience.nd.edu/" target="_blank"><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal"><span style="-webkit-text-decoration-skip:none"><span style="text-decoration-skip-ink:none">Visit our website</span></span></span></span></a><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal"> </span></span>
</li>
</ul>
<h3><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">Upcoming Events </span></span></h3>
<p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><em style="font-style:italic">Join the Notre Dame Data Science Team at our upcoming events and see all events on our website </em></span><a href="https://datascience.nd.edu/events/"><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><em style="font-style:italic"><span style="-webkit-text-decoration-skip:none"><span style="text-decoration-skip-ink:none">here</span></span></em></span></a><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><em style="font-style:italic">. </em></span></p>
<h4><strong><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">November 4, Football Fridays at the Eck</span></span></strong></h4>
<p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">If you are on campus for the ND V. Clemson game, stop by to see our booth at Football Fridays at the Eck from 11:00 a.m. - 5:00 p.m. ET on Friday, November 4.</span></span></p>
<h4><strong><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">November 9, Information Session</span></span></strong></h4>
<p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">We invite you to join us for an information session to learn more about the curriculum, what it is like to be a student in the program, and what career service resources you will have access to as a student. </span></span></p>
<p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">The session will feature Program Director Roger Woodard, Admissions and Communication Coordinator Cortney Mayfield, Associate Director Samantha Adamczewski, and Graduate Career Consultant Erik Oswald. At the end of the hour-long session, we will leave time so that you can ask our team your questions. </span></span><a href="https://notredame.zoom.us/webinar/register/8016623835520/WN_0EN_Ej-0TmuoGnmy4l2_Qg" target="_blank"><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal"><span style="-webkit-text-decoration-skip:none"><span style="text-decoration-skip-ink:none">Click here to Register!</span></span></span></span></a></p>
<h4><strong><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">November 19, All-Science Tailgate </span></span></strong></h4>
<p><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal">The College of Science will be hosting an alumni tailgate before the last home game in 2022. Stop by Jordan Hall to reconnect with classmates and professors and see the Notre Dame Data Science Team. </span></span><a href="https://docs.google.com/forms/d/e/1FAIpQLScTrs1UjfK-kwCVrY0Nmb0Jwb_UPrM98HlsnYcZzgxYlAQkuw/viewform?usp=sf_link" target="_blank"><span style="font-variant:normal; font-weight:400; white-space:pre-wrap"><span style="font-style:normal"><span style="-webkit-text-decoration-skip:none"><span style="text-decoration-skip-ink:none">Click here to RSVP!</span></span></span></span></a></p>
<p> </p>Stafftag:datascience.nd.edu,2005:News/1477622022-09-13T08:53:00-04:002022-09-13T08:53:28-04:00Course Spotlight: Probability and Statistics for Data Science <p>Add to your data science toolkit. Extract powerful insights and put them to use with Notre Dame's graduate level Probability and Statistics for Data Science course.</p><h2><strong>Notre Dame’s Probability and Statistics Course: The Foundation for Your Data Science Career </strong></h2>
<p style="margin-bottom:8px; margin-top:8px">Whether <a href="https://datascience.nd.edu/news/innovations-by-data-science-masters-students-equal-more-productivity-better-quality-for-clients/" target="_blank">helping a business improve</a> productivity or <a href="https://datascience.nd.edu/news/master-of-data-science-program-assists-south-bend-with-broadband-data-analysis/" target="_blank">expanding access to broadband internet</a>, data scientists’ success hinges upon their ability to extract insights from data—and to make decisions based on those insights. With Notre Dame’s graduate-level Probability and Statistics for Data Science course, you’ll learn to do just that: extract powerful insights, use them to make decisions in business, and beyond.</p>
<p style="margin-bottom:8px; margin-top:8px">Taken in the first semester of the <a href="https://datascience.nd.edu/programs/masters/" target="_blank">Master’s in Data Science program</a>, the Probability and Statistics for Data Science course introduce you to the tools every data scientist needs. You’ll gain an understanding of how data behaves, the ability to model and visualize data, experience with programming languages like R, communication skills, and more.</p>
<p style="margin-bottom:8px; margin-top:8px">In other words, in Notre Dame’s probability and data analysis course, you’ll be preparing for your career in data science from day one.</p>
<p style="margin-bottom:8px; margin-top:8px"><em>If you think about building a house, the first thing you do is build the foundation....[This course], Probability and Statistics for Data Science, along with the programming classes in Python and R, builds that foundation for you. You’ll learn the basics of data science that translate to later courses in data modeling and machine learning. You need the foundations from this course to understand content in more advanced data science courses and ultimately, to succeed in a data science career. – Dr. Roger Woodard, Master’s in Data Science Program Director </em></p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Learn How Data Behaves—And How to Make Decisions With Data </strong></h3>
<p style="margin-bottom:8px; margin-top:8px">The best statistics courses for data science go beyond general mathematical concepts. They incorporate probability, programming, communication, and analysis to help you apply data insights to real-world scenarios. Notre Dame strives to offer some of the best statistics courses for data science, so our approach encompasses modeling, mathematical concepts, and technical skills such as R and Python programming languages. We make sure you can hit the ground running with technologies that professional data scientists use every day.</p>
<p style="margin-bottom:8px; margin-top:8px">What does this look like in the first-semester Probability and Statistics course? In the first part of the course, you’ll learn how to model data through commonly used probability distributions and determine how data should behave by studying the common features of data models, patterns data falls into, and when (and why) data may break those patterns. You’ll work with statistical simulations to develop an intuition about how data should act. You’ll also learn how to analyze new data models and techniques, through both theory and simulation to understand their usefulness for various applications in the real world.</p>
<p style="margin-bottom:8px; margin-top:8px">As you advance in the course, you’ll explore connections between probability and modern statistical techniques. By using the distributional knowledge of how data should behave from the first part of the course, you will then collect data and test hypotheses to see if the data is conforming to expectations. You will learn how to do this for a multitude of different scenarios, for example A/B testing or tests for independence. But, you will also be given tools to extend your decision-making abilities beyond the tests presented in the course.</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>How Notre Dame’s Statistics and Probability Course Helps You Grow as a Three-Dimensional Data Scientist </strong></h3>
<p style="margin-bottom:8px; margin-top:8px">Beyond technical skills in mathematics and programming, our course in probability and data analysis helps you develop critical thinking, communication, and analysis skills. We’ll challenge you to exercise creative thinking as you predict how data behaves and spot abnormalities in patterns. Our statistics and probability course will also task you with communicating your ideas in a clear and engaging way. You’ll model and visualize data, practicing telling its stories to your classmates, professor and eventually, your employer. It’s all part of how we prepare you to become a <a href="https://datascience.nd.edu/news/the-rise-of-the-three-dimensional-data-scientist/" target="_blank">three-dimensional data scientist</a> and gain a leading edge in the job market.</p>
<p style="margin-bottom:8px; margin-top:8px"><em>Our Probability and Statistics for Data Science course isn’t just any course in probability and statistics. It’s a course that shows students how probability and statistics are used in the field and by real data scientists. – Dr. Vickie Woodard, Teaching Faculty, Probability and Statistics for Data Science </em></p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px">
<strong>Not an </strong><strong>à</strong><strong> la Carte Experience: A Connected Data Analysis and Probability Course </strong>
</h3>
<p style="margin-bottom:8px; margin-top:8px">Whether you’re still deciding if a <a href="https://datascience.nd.edu/news/is-a-masters-in-data-science-worth-it/" target="_blank">master’s degree in data science is worth it</a> or you’ve already committed to a data science graduate program, a probability and statistics course is one of the first steps toward your degree. Classes that integrate data-science-specific content will help prime you to excel in your future career. You’ll also want to consider structured data science statistics courses that correlate with other studies in your master’s program. The best statistics courses for data science connect to content in other graduate courses, such as <a href="https://datascience.nd.edu/news/course-spotlight-data-visualization-masters-course/" target="_blank">Data Visualization</a> or Storytelling for Data Scientists.</p>
<p style="margin-bottom:8px; margin-top:8px">At Notre Dame, we prioritize creating connections between the content of all our courses, so you’ll revisit and build on topics as you move through the program. Our faculty work closely with one another to develop curricula, foster active learning environments, and help you master data science concepts and skills. Rather than taking a one-off course, you can learn probability and statistics for data science as part of a more extensive, integrated, and structured program to help you develop a more holistic understanding of data science and how to apply it.</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Why Learn Probability and Statistics for Data Science at Notre Dame? </strong></h3>
<p style="margin-bottom:8px; margin-top:8px">Data science statistics at Notre Dame is more than a single course in data science—it will be the cornerstone of your career. You’ll learn the fundamentals of data science, programming, probability theory, modeling, and more in a structured approach that integrates with other courses in the program. And, you’ll begin your journey as a three-dimensional data scientist<strong> </strong>who can leverage insights from data to make decisions.</p>
<p style="margin-bottom:8px; margin-top:8px">Beyond the data science statistics and probability course, our Data Science program as a whole is designed for working professionals. We recognize that our students need to balance the demands of their work, families, and daily commitments. That means we build our courses with an understanding of those constraints along with the science of learning. You’ll experience a consistent structure and schedule that helps you plan your time around your graduate studies, as well as individualized guidance from your professors and a dedicated student support associate to ensure your success in the program.</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<p style="margin-bottom:8px; margin-top:8px">Still curious about <a href="https://datascience.nd.edu/why-data-science/" target="_blank">why you should choose data science</a> at Notre Dame? <a href="mailto:datascience@nd.edu">Contact us</a> or <a href="https://datascience-info.nd.edu/viewbook/" target="_blank">download the data science program guide</a> for more information.</p>Stafftag:datascience.nd.edu,2005:News/1473742022-08-22T21:29:00-04:002022-08-30T07:30:12-04:00Course Spotlight: Data Visualization Master’s Course<p>Immerse yourself in visual storytelling with data. Our Data Visualization master's course offers an advanced, highly interactive format to level up your skills.</p><h3><strong>An Advanced, Interactive Immersion into Visual Storytelling with Data </strong></h3>
<p style="margin-bottom:8px; margin-top:8px">All data has a story to tell. As a data scientist, your role is to find that story. Finding—and ultimately, telling—stories with data involves more than data collection. It requires you to home in on patterns, analyze causes, correlations, and risks, pose questions, identify problems, and provide solutions. Sometimes, telling a story with data means interrogating it and ensuring it’s used ethically, bringing a <a href="https://datascience.nd.edu/news/the-future-of-data-science-is-three-dimensional/">human element to data science.</a> In the end, though, telling a story with data means communicating it to an outside audience, and that’s where data visualization comes in.</p>
<p style="margin-bottom:8px; margin-top:8px">In Notre Dame’s <a href="https://datascience.nd.edu/programs/masters/">Master’s in Data Science program</a>, you’ll learn advanced data visualization in a highly interactive format. Over the course of five weeks in the fourth semester of the program, you’ll cover the nuances of visualizing data for various audiences. Drawing on the skills and knowledge you’ve gained from other courses in data science, including data analysis, making charts and graphs, and programming, you’ll work with your fellow students to create a real, usable dashboard.</p>
<p style="margin-bottom:8px; margin-top:8px"><em>“Data themselves are often sterile, so it’s hard to use them to convince an audience solely off a spreadsheet or a table. But when you put data into a more visual format, it helps others interpret the story more easily. If you’re interested in ways to take your data beyond just the machine-readable version of itself, a data visualization master’s course is crucial.” –</em> <em>Matthew Sisk, Data Visualization Faculty</em></p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>The Human Side of Visualizing Data</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">The best data scientists are three-dimensional, meaning they have technical aptitude, communication skills, and strong ethics. The data visualization master’s course fosters your development in each of these areas. The course teaches you “hard skills” in design and coding, but also pushes you to make ethical considerations as you’re visualizing geographic data, text data, and other types of data sets. You might discuss the ethics of using data sourced from deleted social media posts, for example, or investigate inequities in census data. You’ll also challenge existing visualizations, analyze visual choices that influence an audience’s interpretation of data, and assess the accuracy of the data represented. Whether you’re in the early stages of data collection or you’re visualizing graph data that’s already sourced, this course challenges you to balance ethics and your end goals.</p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>Visualizing Data for Varying Audiences</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">In our advanced and interactive class in data visualization, visualizing graph data, text data, and geographic data is only the start. Although they are essential tools for communicating data, Notre Dame’s data visualization master’s course goes beyond creating pie charts and bar graphs. This class will ask you to consider the various audiences who will encounter your visualizations and adapt your work to fit their needs and capture their attention.</p>
<p style="margin-bottom:8px; margin-top:8px">Perhaps you’re visualizing geographic data and need an in-depth breakdown of various demographics for a government official—you’d want that visualization to look different than one you’d share on the same topic on social media, for example. If you’re visualizing text data to communicate how customers are experiencing a business’s product, you’d want to adapt that visualization for sales, product developers, and the CEO. The data visualization master’s course helps you develop the expertise you need to tackle these complex tasks.</p>
<p style="margin-bottom:8px; margin-top:8px"><em>“In this course, we try to help students realize that there’s no single creation of a visualization that will work for all audiences—you’ll need to know how to project the story to the audience you’re trying to convince with it. The dashboard you’d make for your fellow analysts, for example, would be different than what you’d show a CEO, which would be different than what you’d share on Twitter as part of a debate or policy initiative. At this point in the Master’s in Data Science program, you know how to tell stories with data. In this course, you’ll learn how to <strong>adapt the visuals</strong> you’re creating to fit into the larger story you want to tell.</em></p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>Build a Dashboard for Visualizing Data in Real-Life Contexts </strong></h4>
<p style="margin-bottom:8px; margin-top:8px">One of the most exciting projects in this course is the semester-long project in dashboard building. You’ll work with your classmates over the entire five weeks to create a usable dashboard that helps you visualize insights gathered from raw data. This real-world practice is instrumental in preparing you for a career in data science, and it’s this interactive project that helps set Notre Dame’s data visualization master’s course apart from others.</p>
<p style="margin-bottom:8px; margin-top:8px">Along the way, you’ll benefit from a blend of live classes and asynchronous material. This format allows you to interact with your classmates and professor in real time while experiencing the convenience of asynchronous online learning. Like the other courses in the program, the data visualization master’s course is designed to create meaningful connections between you, your classmates, and your professors. The dashboard building project is part of how those connections take shape in this course while offering you experience in data visualization.</p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>Why Else Should You Learn Data Visualization at Notre Dame?</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">Data visualization is a critical skill for any data scientist. At Notre Dame, we work hard to ensure you build this skill in a way that connects to other facets of data science. You’ll utilize data collection, analysis, and storytelling skills as you learn how to integrate ethics, decision-making, and communication into your approach to data science. In other words, this course, like <a href="https://datascience.nd.edu/programs/masters/curriculum/">all the courses in our data science master’s program</a>, helps you develop as a <a href="https://datascience.nd.edu/news/the-future-of-data-science-is-three-dimensional/">three-dimensional data scientist</a>, putting you a step ahead in the job market.</p>
<p style="margin-bottom:11px">Want to learn more about <a href="https://datascience.nd.edu/news/how-to-become-a-data-scientist/">becoming a data scientist</a> or <a href="https://datascience.nd.edu/why-data-science/">why you should choose data science</a> at Notre Dame? Contact us or download the data science program guide for more information.</p>Stafftag:datascience.nd.edu,2005:News/1470842022-08-08T08:13:00-04:002022-08-08T08:13:17-04:00Ryan Woodbury Uses Data Science Storytelling to Change Workplace Culture<p>Thanks to the MS in Data Science program, Ryan Woodbury ’21 can confidently lead his team through data science storytelling and processes to improve K-12 education.</p><p>For Ryan Woodbury ’21, the combination of psychology and statistics has always piqued his interest. Intrigued by modeling and statistics—as well as the intricacies of how and why humans act the way they do—he sees many data possibilities within the study of behavior.</p>
<p>After earning a degree in psychology from Brigham Young University, he moved on to a master’s program in developmental psychology from the University of Notre Dame. He fueled his passion by taking quantitative psychology courses focused on behavioral phenomenon and the measurement of human behavior.</p>
<p>During the final year of his master’s program, Woodbury heard about the launch of Notre Dame’s new <a href="https://datascience.nd.edu/programs/masters/">online MS in Data Science</a>—and how the curriculum was being shaped with input from the Department of Psychology, as well as the Mendoza College of Business, the Office of Information Technologies, and the Hesburgh Libraries. It seemed like the perfect fit, but he knew he needed to finish one master’s degree before beginning a second program.</p>
<p>At the time, Woodbury was also starting a new job with Notre Dame’s <a href="https://iei.nd.edu/">Institute for Educational Initiatives</a>. As a research and data analyst, he would get to put his preliminary data science skills to work on comprehensive studies that explore the impact of educational programs on K-12 students.</p>
<p>“As I settled in and got deeper into my work, I realized I would benefit from an actual data science degree that could help me understand why, how, and when to use data.” He dreamed of one day helping his employer create a more data-focused culture, so he revisited the idea of earning an MS in Data Science and applied to be part of the third cohort.<span style="tab-stops:276.0pt"> </span></p>
<p>“It’s been a phenomenal learning experience, along with lots of community building,” Woodbury explains. “The class content has been wonderful.” He says the program is the right mix of <a href="https://datascience.nd.edu/programs/masters/curriculum/">new content</a> and a refresh of subjects he studied in the past.</p>
<p>“The Ethics & Policy in Data Science and Storytelling & Communications for Data Scientists courses gave me lots to think about, even though I already had experience with those topics,” he describes. “The ideas are packaged and presented in new ways, and I learn alongside colleagues who share their own experiences within new contexts.”</p>
<p>He’s also discovering innovative concepts through courses like Data Visualization, which reveals helpful exploration, reporting, and monitoring techniques he’s able to integrate into his daily work.</p>
<p>As a result of strengthening his skills, Woodbury recently took on an expanded role at the Institute for Educational Initiatives: He now leads a group of non-data-scientists who are responsible for handling the data within their respective groups.</p>
<p>To streamline data collection, management, reporting, and visualization processes, Woodbury concentrates on creating and maintaining systems they can use. He has also developed a network of data dashboards to monitor program performance and support informed decision-making across the organization.</p>
<p>“People at work already knew me as the ‘data guy,’ but now we can really get things done since I’ll have this degree under my belt,” he says. “I help my team members think through the data science method and data science storytelling. I can actually engage in changing the entire culture of my organization because of the new processes and technical skills I now have.”</p>Stafftag:datascience.nd.edu,2005:News/1468952022-07-25T18:32:46-04:002022-07-26T09:45:45-04:00Evan Welsh Helps Organizations Make the Most of Healthcare Data Science <p>As he earned his MS in Data Science, Evan Welsh ’20 could see his healthcare data science skills improving.</p><p style="margin-bottom:11px">After earning a BS in Applied Mathematics from the University of Notre Dame, Evan Welsh ’20 found his way into healthcare through a position at Epic, a healthcare software company. He served as a technical consultant, supporting hospitals as they used billing software and measuring how they used automation.</p>
<p style="margin-bottom:11px">As Welsh worked to benchmark hospitals’ participation and comfort levels with available technology, he also got some hands-on experience with data collection and analysis. “That type of work was only about 25% of my time,” he explains. “The other 75% of my time was spent on consulting with clients and health systems on software configuration. But I realized I wanted that 25% to become 100% of my work.”</p>
<p style="margin-bottom:11px">To reach this career goal, he began looking into graduate programs and contacted his alma mater for suggestions. When he found out that Notre Dame had launched an <a href="https://datascience.nd.edu/programs/masters/">online MS in Data Science program</a>, he applied right away.</p>
<p style="margin-bottom:11px">“It was an easy decision once I learned about the program and how it was structured,” he explains. “It seemed like a good mix of what I was looking for. It wasn’t just about the mathematics and the models behind it. It was about how to connect with your audience and communicate to people who aren’t always going to understand those finer details.”</p>
<p style="margin-bottom:11px">Throughout the duration of the program, he balanced his courses with his full-time job. Although it was sometimes a struggle, he knew the hard work was worth the effort to switch career paths—and he credits his cohort for helping him make it through.</p>
<p style="margin-bottom:11px">“You build a camaraderie as you get closer with one another, and that includes faculty and staff,” he says. “Having that network—even when times were tough—made a difference. You had other people going through the same things. That made it much easier and more rewarding.”</p>
<p style="margin-bottom:11px">As he moved through the program, Welsh could see his healthcare data science skills improving as he carried out the lessons he learned. “I became the go-to guy for the job as far as a data project I was leading. I even gave a presentation to about 350 healthcare executives about my work. A large part of my success was based on using concepts from the <a href="https://datascience.nd.edu/programs/masters/curriculum/"><em>Storytelling & Communications for Data Scientists </em>course</a>.”</p>
<p style="margin-bottom:11px">He says the class not only taught him how to tell compelling and effective stories that grab attention, but also tactical skills like creating engaging slides that show the right mix of data, stats, and narratives.</p>
<p style="margin-bottom:11px">Just a few months before he graduated, Welsh leveraged the experience and knowledge he built at Notre Dame to land a new role as a senior data analyst for Well Health—a job 100% dedicated to healthcare data science.</p>
<p style="margin-bottom:11px">“I wouldn’t have gotten that role if I wasn’t on my way to getting this degree. It gave me the tools I needed to crush the interview, answer technical questions, and present a case study of a big data set to the CTO,” he explains.</p>
<p style="margin-bottom:11px">During his time at Well Health, Welsh helped bring better control and management to the company’s data, assisting with standardization and consistency to make a long-term impact on analysis. Along with his team, he used patient-demographics data to solve problems for the company’s clients: how to reach and communicate with patients, how to motivate them to show up to appointments, how to minimize anxiety, etc. He also used this data to determine how the organization was helping its customers save money, improve healthcare, and integrate automation to improve productivity and efficiency.</p>
<p style="margin-bottom:11px">In May 2021, Welsh moved on to a senior data analyst position with Vida Health, a virtual care company that treats the whole patient by bringing mental and physical healthcare together through technology, therapists, and coaches. In this new role, he collects, organizes, analyzes, and reports on findings from large amounts of user-generated data so Vida Health can make informed decisions.</p>
<p style="margin-bottom:11px">“I want to show people how they can get the most out of their data,” says Welsh. “There’s more data out there than there is talent to manage it, but there’s so much that companies can do when they have someone to help them wade through it. I love helping them!”</p>Stafftag:datascience.nd.edu,2005:News/1466702022-07-11T20:36:23-04:002022-07-12T12:06:44-04:00How to Become a Data Scientist<p>Explore 11 steps to become a data scientist. Learn about what data scientists do in different industries as well as job outlook and salary information.</p><p style="margin-bottom:8px; margin-top:8px">Companies of all kinds are working to collect and understand the ever-increasing volumes of data at their fingertips. The nuggets hidden within raw facts and figures hold the answers to important and impactful business questions—as long as you know how to find and apply them. That’s exactly what data scientists do, along with a host of other responsibilities that help businesses and organizations make better decisions. If you’re wondering how to become a data scientist, we’ll share information about what data scientists do, their typical salary, and the path to becoming a data scientist.</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>What Is a Data Scientist? </strong></h3>
<p style="margin-bottom:8px; margin-top:8px">Data scientists analyze and interpret the disparate data coming into organizations in many different formats from multiple sources. These experts are today’s problem-solvers and discovery-makers, helping businesses and organizations capitalize on big data by extracting valuable insights from it.</p>
<p style="margin-bottom:8px; margin-top:8px">What else is a data scientist? A communicator and advisor. Data scientists know how to visually present information in clear, compelling ways. As they make new discoveries, data scientists can effectively communicate what they’ve learned, explain the implications of their findings, and help generate ideas and build new solutions as a result.</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>What Does a Data Scientist Do?</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">So, what does a data scientist do? And how do they make an impact on an organization?</p>
<p style="margin-bottom:8px; margin-top:8px">Many industries now rely on data science to make strategic decisions and improve business outcomes. Here are a few real-world examples of what a data scientist can do.</p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>What Does a Data Scientist Do in Health Care?</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">Data science is especially important in the health care environment, as it can improve health care delivery and telehealth, as well as give providers critical insights about their patients. A data scientist in the health field may examine medical records, surveys, lab results, and clinical trials information to make accurate projections about disease prevention and progression.</p>
<p style="margin-bottom:8px; margin-top:8px">They may analyze prescriptions to prevent drug abuse. Or, they may work with other data scientists to improve the patient experience of a health care delivery application.</p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>What Does a Data Scientist Do in Manufacturing?</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">In manufacturing settings, data scientists might use information from warehouse management systems to accurately forecast the demand for a specific product. They may also predict periods of increased need and determine how to best allocate resources to handle these surges. Rather than relying on instinct, a data scientist provides the data-driven analysis necessary to make better hiring, purchasing, and operational decisions.</p>
<h4 style="margin-bottom:8px; margin-top:8px">
<strong>What Does a Data Scientist Do in a Retail Environment</strong>?</h4>
<p style="margin-bottom:8px; margin-top:8px">Here, data scientists might analyze the sales results of recent promotions and campaigns to determine what prompts a consumer to buy products. This information can help companies pinpoint what types of customers are most likely to take advantage of future events. Data scientists in the retail sector may also offer insight that helps retailers make better decisions about how to price their products, what types of deals to offer, and when to offer them.</p>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>In a Nutshell…</strong></h4>
<p style="margin-bottom:8px; margin-top:8px">Almost every type of organization can use data to its advantage if it has a data scientist at the helm to help find, analyze, and apply the right information to make better decisions, improve performance, and meet goals faster.</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>How to Become a Data Scientist: 11 Steps </strong></h3>
<p style="margin-bottom:8px; margin-top:8px">There’s no specific path to follow to become a data scientist, but there are certain steps you can take to build a competitive advantage in the field. Here are several steps you can take to help you become a data scientist:</p>
<ol>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Earn a bachelor’s degree in data science</strong> or a related field. Information technology, computer science, math, or management information systems can all help you in your journey to become a data scientist. While these degrees aren’t always required to become a data scientist or get accepted into a <a href="https://datascience.nd.edu/programs/masters/" target="_blank">master’s in data science program</a>, they help you get your footing in the field, especially if you want to get a master’s degree later.</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Take any opportunity to use data science skills</strong>. Whether you’re working in a data science role or not, volunteering for special projects that require data science proficiency can help you exercise data science skills. Even if you feel like you don’t have much to contribute, you can learn a lot just from being involved. There are many opportunities to voluntarily contribute data science skills to community projects focused on everything from forecasting water and energy demand to modeling earthquake damage. The more hands-on experience you can get, the better.</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Research master’s programs in data science</strong>. Many employers are looking for professionals with advanced degrees, and the field of data science is no exception. A master’s degree in data science serves as your ticket to senior-level positions, higher salaries, and leadership and management opportunities. An online program even lets you continue working while you earn your degree.</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Consider an executive certificate program.</strong> If you’re not ready for a master’s degree, <a href="https://datascience.nd.edu/programs/executive-certificate/" target="_blank">an executive certificate</a> can serve as an introduction to data science, helping you build a practical understanding of the basics, including machine learning and big data.</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Attend <a href="https://www.youtube.com/watch?v=nNHy4MkR8gU&t=1s" target="_blank">online info sessions</a></strong> to learn more about the data science program(s) you’re considering so you can hear from faculty, alumni, and current students. You’ll learn how the program can fit into your life, discover more about the curriculum, and get tips on applying</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Choose a reputable master’s in data science program.</strong> Earning your Master’s in Data Science from an institution known for excellence and innovation will set you apart as a candidate in a growing field. The right program prepares you to use powerful tools to analyze data, unpack the stories big data can tell, and ethically approach data analysis.</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Build <a href="https://datascience.nd.edu/programs/masters/curriculum/" target="_blank">core competencies</a></strong> that will prepare you for a data science career: predictive analytics, statistical modeling, databases and, data security, and data visualization<a>.</a>
</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Sharpen your communication skills</strong>. An important part of becoming a data scientist involves being able to convey your thoughts and findings in an impactful way. Practice your presentation skills to help you become comfortable presenting in front of larger groups.</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Build your network as you go</strong>. Get to know and interact with the faculty, students, and alumni who make up the graduate experience. Building this community can connect you with industry leaders and new career opportunities. Some graduate programs in data science focus on cultivating a tight-knit learning community of students and alumni, so look for programs that already have this community built-in.</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Build a portfolio</strong> <strong>that showcases your work</strong>. Include algorithms built from the ground up, meaningful analyses, presentations that capture your insights, and other work you’ve completed.</li>
<li style="margin-top:8px; margin-bottom:8px; margin-left:8px">
<strong>Always watch for career opportunities </strong>that seem like a good fit. An impressive master’s degree in data science from a reputable institution, along with a meaningful portfolio and robust network, will quickly help you advance your career.</li>
</ol>
<p style="margin-bottom:8px; margin-left:8px; margin-top:8px"><strong> </strong></p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>A Typical Data Scientist Job Description</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">Now that you understand how to become a data scientist, it’s also important to know what employers will be looking for as they fill these key positions.</p>
<p style="margin-bottom:8px; margin-top:8px">It takes a unique combination of technical and soft skills to bring different worlds of data together and make life-changing impacts. These skills will be at the top of the list when you become a data scientist:</p>
<ul>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Collecting, inspecting, cleaning, and transforming data</li>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Building dashboards and reports</li>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Working with computer languages like Java, R, Python, and SQL</li>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Deploying machine learning to automate model building</li>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Identifying patterns and drawing conclusions based on data</li>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Creating graphical representations of information</li>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Communicating findings and recommendations to key stakeholders</li>
</ul>
<p style="margin-bottom:8px; margin-top:8px">Although you may not see soft skills outlined as clearly in a job description, data scientists will also be expected to:</p>
<ul>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Conduct analytical and critical thinking, with the ability to ask probing questions and reflect on the information you have</li>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Look beyond the surface to discover patterns and solutions</li>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Possess excellent interpersonal skills to communicate with diverse audiences across all technical levels</li>
<li style="margin-bottom: 8px; margin-left: 24px; margin-top: 8px;">Work freely, experimenting and exploring new possibilities</li>
</ul>
<p style="margin-bottom:8px; margin-left:24px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Salary and Career Outlook for Data Scientists</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">What is a typical data scientist's salary, and what’s the job market like?</p>
<p style="margin-bottom:8px; margin-top:8px">Glassdoor ranks data scientists as No. 3 on its list of 50 Best Jobs in America for 2022 (followed by data engineers at No. 7)—and it’s been at the top for a few years in a row. This ranking is based on the number of job openings across the country, job satisfaction levels, and median base salary.</p>
<p style="margin-bottom:8px; margin-top:8px">Within the field, the chance of career advancement is high. Because organizations of all kinds are producing data that needs to be put to better use to maximize time, resources, costs, and labor, demand is strong. As data scientists gain experience and earn advanced degrees—such as a Master’s in Data Science—they often move into senior-level positions with even higher pay.</p>
<p style="margin-bottom:8px; margin-top:8px">The U.S. Bureau of Labor Statistics also forecasts strong data science career growth, with the number of jobs rising by nearly 28% (11.5 million jobs) through 2026.</p>
<p style="margin-bottom:8px; margin-top:8px">Career opportunities tend to be even more impressive for ethical, three-dimensional professionals who have advanced degrees and strong statistical, technical, and communication skills. All students in Notre Dame’s last data science cohort were employed within six months of graduation, securing promotions or new positions.</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>Gain a Competitive Edge With Notre Dame’s Online Master’s in Data Science</strong></h3>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<p style="margin-bottom:8px; margin-top:8px">Notre Dame’s <a>Online Master’s in Data Science </a><a href="https://datascience.nd.edu/programs/masters/" target="_blank">program </a>creates three-dimensional leaders who have quantitative and computational data skills along with the ability to communicate effectively and act ethically. This unique combination gives you the edge you need to perform at the highest levels in the field.</p>
<p style="margin-bottom:8px; margin-top:8px">Our Master’s in Data Science program was designed to provide students with the technical skills, quantitative aptitude, and analytical insight that the industry now demands. Take six credits per semester for five consecutive semesters to earn your degree—with no worries about navigating complex electives models.</p>
<p style="margin-bottom:8px; margin-top:8px">Whether you just earned your undergraduate degree, have a few years of work experience, or are an experienced data science professional, the Master’s in Data Science program at the University of Notre Dame gives you the flexibility and convenience of an online program plus connection and support through in-person immersions and personal interaction.</p>
<p style="margin-bottom:11px">You’ll get to learn in a community of current and future leaders and ethical innovators. To make sure you’re prepared for what’s ahead, our curriculum constantly shifts to cover new evolutions and advances.</p>
<p style="margin-bottom:8px; margin-top:8px">If you’re not ready for a full master’s degree, the executive certificate program in data science is also available. This program offers an overview of data science concepts, machine learning, and big data. Apply today to get on the path to becoming a data scientist—and experiencing the Notre Dame Edge.</p>
<p style="margin-bottom:8px; margin-top:8px"> </p>
<h4 style="margin-bottom:8px; margin-top:8px"><em>“I absolutely love the [data science] program. I have never lost interest in what we’re learning or felt things were too difficult. It is challenging, but I have resources to get through it. The online material is so good, and I’ve never had a single instructor who came to class without preparation.”</em></h4>
<h4 style="margin-bottom:8px; margin-top:8px"><strong>Sunela Thomas, Class of 2021, Director of Compliance</strong></h4>
<h4> </h4>Stafftag:datascience.nd.edu,2005:News/1444442022-03-29T18:00:00-04:002022-04-28T13:22:02-04:00Is a Master’s in Data Science Worth It?<p>Critical to business decision-making, experienced data science professionals are in high demand. Learn what makes a Master's in Data Science worth the investment.</p><h3><strong>Why Is a Master’s in Data Science Worth It?</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">Technology is more integrated into our lives than ever before, which means that data can be found behind the scenes in almost everything you do—whether you’re shopping online, streaming new music, or driving downtown. Some of the world’s biggest and most successful companies rely on data science every day to make smarter decisions and attract and retain customers. It’s now crucial in environments where technology and data coexist. As data becomes more and more critical to business decision-making, the search is on for talented professionals who can fill essential roles in data science across industries.</p>
<p style="margin-bottom:8px; margin-top:8px">If you want to be a front-runner who can present compelling narratives to communicate and support ideas and decisions, a Master’s in Data Science is worth it for numerous reasons. This degree equips you with vital skills that help you bring clarity and simplicity to an organization’s data. Your insights can help create data-backed strategies that boost sales, improve and customize the customer experience, predict trends and patterns, streamline processes, and increase efficiency.</p>
<h3 style="margin-bottom:8px; margin-top:8px"><strong>What Can You Do with a Master’s in Data Science?</strong></h3>
<p>Wondering what you can do with a Master’s in Data Science? The short answer: a lot.</p>
<p>Data scientists, data analysts, and data engineers bring numbers to life by giving big data important context and meaning.</p>
<p>A <a href="https://datascience.nd.edu/programs/masters/">Master’s in Data Science</a> prepares you to analyze large amounts of information from a variety of sources (think social networks, surveillance cameras, databases, invoices, clickstream logs, etc.) and package and present that information in new and powerful ways.</p>
<p>This degree makes you a highly valued member of any team: part analyst, part programmer, part problem-solver, part storyteller. The skills you gain allow you to translate complex and technical data into impactful stories full of actionable insights that business leaders can easily understand and implement. That’s a big part of why a master’s in data science is worth it.</p>
<h3><strong>Why Should You Earn a Master’s in Data Science?</strong></h3>
<p>Beyond “is a Master’s in Data Science worth it?” and “what can you do with a master’s in data science?,” one of the main questions we hear from prospective students is “do you need a master’s degree to become a data scientist?”</p>
<p>The short answer? Much of the time. According to a 2020 Burtch Works study, 91% of data scientists have a master’s degree. This degree can change everything, including the trajectory of your career. If you want to be a leader, progress in your field, and land senior-level positions, then a Master’s in Data Science is worth it because it will help get you there.</p>
<p>So, why should you earn a master’s in data science? Because companies and organizations are seeking data scientists who can:</p>
<ul>
<li>Answer questions about human behavior and outcomes</li>
<li>Apply critical thinking—not just data-analysis techniques</li>
<li>Understand the ethical implications of data usage</li>
<li>Communicate actionable insights that can be understood by non-technical teams</li>
</ul>
<p>With this master’s degree as your foundation, you’ll have the skills and knowledge to remain responsive to changes in the field as data science evolves.</p>
<h3><strong>Why Consider Notre Dame for Your Data Science Degree?</strong></h3>
<p>At Notre Dame, we believe a master’s in data science is worth it—from the right institution. Curiosity drives innovation, and the best data scientists approach their work with a curious mind. We work to cultivate the curiosity and critical thinking skills that make data scientists leaders in their fields. We focus on developing highly trained, ethical leaders in data science who can combine expert technical and mathematical skills with critical thinking and a deep understanding of how their work impacts businesses, communities, and lives. In other words, we make sure that you’ll find your master’s in data science from Notre Dame worth it.</p>
<p>Here’s what gives our graduates the Notre Dame Edge:</p>
<ul>
<li>Live and asynchronous sessions in an interactive online community to experience the best of both worlds</li>
<li>Exclusive immersion weekends in Silicon Valley, on campus, and online to connect you with networking opportunities and the greater Notre Dame community</li>
<li>Relevant, industry-informed, and multidisciplinary coursework that equips you for today’s job market—and tomorrow’s biggest challenges</li>
<li>Faculty who are scholars with multidisciplinary backgrounds and impressive industry experience at institutions like the Pentagon and Walgreens Health Care Alliance</li>
<li>Coursework that lets you partner with well-known companies throughout the program and as part of a capstone project</li>
</ul>
<h3><strong>How Long Does It Take to Earn Your Degree—and What Will You Learn in Our M.S. in Data Science Program?</strong></h3>
<p>In just 21 months—and completely online—the Master’s in Data Science will build your technical confidence and help you become a better technical manager. You’ll be able to analyze disparate types of data, recognize patterns and trends within that data, and effectively communicate results.</p>
<p>In the M.S. in Data Science program, you’ll build skills that allow you to:</p>
<ul>
<li>Turn data into action and frame data-driven solutions</li>
<li>Use powerful tools to analyze information</li>
<li>Think about problems differently</li>
<li>Unpack the powerful stories hidden behind organizations’ data Apply an ethical approach to data analysis</li>
<li>Connect and communicate with audiences</li>
<li>Utilize new exploration, reporting, and monitoring techniques</li>
<li>Analyze data in new shapes and forms</li>
</ul>
<p>We continually hear from graduates who tell us why their data science master’s is worth it. Our graduates say their degree supplies them with theoretical and tactical skills they can apply in powerful ways in their careers. From knowing when to ask “what if?” to using the right mix of statistics and narratives to tell attention-grabbing stories, their professional recommendations are valued—and yours will be, too.</p>
<h3><strong>Data Science Career Outlook</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">From large manufacturing plants to small startups and nonprofits, organizations of all kinds are producing data that needs to be put to better use to maximize time, resource, cost, and labor efficiency.</p>
<p style="margin-bottom:8px; margin-top:8px">The U.S. Bureau of Labor Statistics predicts strong career growth in data science, with the number of jobs rising by nearly 28% (11.5 million jobs) through 2026. Career opportunities tend to be even better for ethical, three-dimensional professionals who have advanced degrees and strong statistical, technical, and communication skills.</p>
<p style="margin-bottom:8px; margin-top:8px">Translation: Now’s a great time to become a data scientist.</p>
<p>So, what can you do with a master’s in data science from Notre Dame? Nearly all Notre Dame’s data science students are employed within six months of graduation, securing promotions or new positions in technology, aerospace, education, pharmaceuticals, biomedicine, and healthcare. Whether you want to work in the private or public sector, we’re confident you’ll find Notre Dame’s data science master’s worth it during your job search.</p>
<h3><strong>Launch Your Career with Notre Dame’s Online Master’s in Data Science</strong></h3>
<p style="margin-bottom:8px; margin-top:8px">The Master’s in Data Science program at the University of Notre Dame combines distance learning with the unmatched academic standards our institution is known for. You get the flexibility and convenience of an online program plus connection and support through in-person courses and personal student-to-teacher interactions.</p>
<p style="margin-bottom:8px; margin-top:8px">The curriculum’s <a href="https://datascience.nd.edu/programs/masters/curriculum/">unique combination of technical and soft skills </a>gives you a well-rounded perspective. Gain the knowledge and skills you need to build a successful career in data science.</p>
<p style="margin-bottom:8px; margin-top:8px">If you’re not ready for a full master’s degree, then executive graduate certificate programs are also available. These condensed programs offer an overview of data science concepts, machine learning, and big data.</p>
<p style="margin-bottom:8px; margin-top:8px"><a href="https://datascience-info.nd.edu/viewbook/">Request information</a> or <a href="https://gradconnect.nd.edu/apply/">apply today</a> and open the door to new career opportunities.</p>
<p style="margin-bottom:8px; margin-top:8px"><em>“I’m now using data to find ways to decrease wait time and churn. What causes people to start thinking about moving [from AT&T] to T-Mobile or Verizon? I now have the tools to figure those things out. I want to make an impact. That’s the reason I chose Notre Dame. Not because it was easy, but because it means something.” </em></p>
<p><strong>Emerson Almeida, Class of 2022, Associate Vice President of Global Client Advocacy</strong></p>
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</div>Samantha Adamczewski