The Data Science Online Master's curriculum is designed by award-winning Notre Dame faculty as well as industry experts. Our multidisciplinary faculty team has extensive experience addressing some of the biggest and most challenging data science problems, including those in the fields of healthcare, bio-informatics, educational efficacy, network science, machine learning, and finance. Dedicated program faculty and industry experts work together with our lead faculty to ensure a personal experience for each student.
Teaching Faculty, Ethics and Policy in Data Science
John Behrens is Visiting Professor of the Practice of Digital Learning in Notre Dame Learning, as well as Director, Idzik Computing & Digital Technologies Program and Director, College Technology Initiatives in the College of Arts & Letters.
John’s work has focused on improved learning outcomes and access for students around the world by developing innovative software that integrates advances in data science, learning science, and computing science. John was most recently at Pearson where he established data science R&D labs, oversaw product analytics, and led development and deployment of innovative learning products as Vice President of AI Product Development. Prior to Pearson, John led e-learning curriculum and learning system development in Cisco’s flagship CSR program providing assessment and instructional support to 10,000 schools in 165 countries. Before working in industry, John was an Associate Professor of Psychology in Education at Arizona State University’s program in Measurement, Statistics, and Methodological Studies. He has more than 50 publications in areas of digital assessment, instructional and assessment personalization, the application of data science to learning ecosystems, and the foundations of data science. He is currently an Associate Editor for the IEEE Transactions in Learning Technologies.
John received his Ph.D. in Psychology in Education: Measurement, Statistics & Methodological Studies and Master’s degree in Special Education at Arizona State University. He earned his BA in Psychology and Philosophy at the University of Notre Dame.
John has lived in Mishawaka for 20 years with his wife and four children. His interests include gardening, hiking, camping, canoeing, and photography.
Faculty Developer, Databases and Data Security
What new security threats do big data bring about and how can we design our information systems to protect against them? As an IT leader, information security professional, author, and educator, Professor Mike Chapple has dedicated his career to developing information security solutions and policies for higher education institutes.
A leading contributor to the higher education IT community, Professor Chapple has served as the chair of the Common Solutions Group Cloud Strategy Working Group which produced the Cloud Strategy for Higher Education. Prof. Chapple also serves as the chair of the EDUCAUSE Recognition Committee, Co-Chair of the EDUCAUSE Center for Applied Research Cloud Working Group, and a member of the EDUCAUSE Governance, Risk and Compliance Advisory Board. In 2014, he was selected as a Fellow of the Leading Change Institute.
In 2016, Professor Chapple was appointed academic director of Notre Dame’s Master of Science in Business Analytics program. Based in the IT, Analytics and Operations Department of the Mendoza College of Business, he teaches undergraduate and graduate courses in business analytics and information security. Prior to joining Notre Dame’s faculty, Mike served as Senior Director for IT Service Delivery at the University. In this role, he oversaw the information security, IT compliance, cloud computing, data governance, IT architecture, learning platforms, project management, strategic planning, and product management functions for the Office of Information Technologies. Professor Chapple designed the Databases and Data Security course for the Notre Dame Online Master's in Data Science program.
A double-domer, Professor Chapple earned his BS and Ph.D. degrees from Notre Dame in Computer Science & Engineering. He also holds an MS in computer science from the University of Idaho and an MBA from Auburn University. In his spare time, he enjoys hiking, backpacking, and camping and serves on the board of the North Country Trail Association.
Faculty Developer, Communications and Storytelling for Data Scientists
How do you tell an unforgettable story with numbers? While data analysis continues to rank as one of the hottest skill categories for new recruits, companies still lack talent who can translate complex computational analysis into actionable insights. To meet this need, Associate Teaching Professor Jennifer Cronin, Ph.D., an expert in interpersonal and organizational communication, studies how to effectively couple narrative storytelling with data to achieve better business decision-making.
At Notre Dame since 2014, Professor Cronin teaches courses across several different departments including ITAO, M&O, and Marketing, and is the Director of Undergraduate Studies for the M&O department. She focuses on areas such as strategic messaging, graphic design, campaign development, branding, social media strategy, and public relations. She also works with the Fanning Center for Business Communication to coach hundreds of graduate students and industry professionals on the necessary skills required to pitch an innovative business idea to a network of investors. Professor Cronin has been teaching for nearly fifteen years and her eclectic academic background and industry experience afford her students a number of real-world examples and case studies from varied perspectives.
Prior to teaching, she spent a number of years in public relations at the International SPA Association, with some of the world’s top spas as clients. Jen obtained her Ph.D. from the University of North Carolina and MA from the University of Kentucky. In her free time, Professor Cronin enjoys reading, running, crafting, renovating her 1920s Historic Home, and spending time with friends and family. Her husband is a professor in the Economics department and she has two children Oscar (7) and Evelyn (3) and one more on the way (due Thanksgiving 2021)!
Teaching Faculty, Systems and Technologies R/Python, Data Science Now
Chris Frederick is an assistant teaching professor of Data Science in the College of Science at the University of Notre Dame, where he teaches graduate courses in statistical programming and business analytics. His main areas of focus include computer science, data engineering, data warehousing, data visualization, data governance, and entrepreneurship.
Immediately prior to becoming part of the College of Science, he was the Manager of the Business Intelligence Team for the Office of Information Technology and the Director for the Data-Driven Decision-Making program at the University of Notre Dame. In these roles, he oversaw the creation and development of an Enterprise Data Warehouse, Knowledge Graph, and Data Governance Program.
While at Notre Dame, Chris also co-founded three midwest based tech companies: the South Bend Code School, GiveGrove, and South Bend Code Works.
The South Bend Code School combats the technology skills gap at the earliest level by reforming technology education and making computer science accessible to students from all walks of life. Since its inception in 2015, the South Bend Code School has brought technology skills to over 1,000 students ages seven to 18 in five locations: South Bend, Elkhart, Fort Wayne, Bloomington, and Port Huron, Michigan.
GiveGrove, a cloud-based SaaS platform, simplifies the process of running and managing non-profit fundraising events. After its launch day debut with the Center for the Homeless in 2017, GiveGrove has gone on to help hundreds of regional non-profits raise over four million dollars for their causes. GiveGrove is built on a scalable micro services architecture.
South Bend Code Works (SBCW), a digital product studio, brings an interdisciplinary approach to solving technical problems. A team that includes architects, senior developers, data analysts, designers, marketers, and entrepreneurs partners with clients to validate, develop, and deploy new technology and ideas. SBCW has successfully helped dozens of clients meet their goals and launch their next big tech product, brand, or idea.
Prior to working at Notre Dame, Chris was a lead developer at Walgreens Health Care Alliance and was responsible for the development of a number of systems including mail order automation facilities, inventory management systems, and new ventures.
Chris earned his Master's in Data Science from Indiana University and his Bachelors of Computer Software Systems from Saint Louis University.
Teaching Faculty, Communications and Storytelling for Data Scientists
Carey Hardin is an assistant professor of media and American studies at Miami University in Ohio. She holds a Ph.D. in communication and cultural studies from the University of North Carolina at Chapel Hill. She has worked as a researcher, educator, and consultant for more than 12 years. Her research focuses on communication and culture in American finance. Her work has been published in the journals Cultural Studies, American Quarterly, and the Journal of Cultural Economy, where she is co-editor-in-chief. Her book, Arbitrage: A Critique of the Political Economy of Finance is under contract with Duke University Press.
Carey has trained entrepreneurs, university leaders, political candidates, and business executives in effective public communication, storytelling, effective visual presentations, and communicating across socio-cultural divides. Carey specializes in values-based communication, audience analysis, leadership communication, and alliance building.
Faculty Developer and Teaching Faculty, Generalized Linear Models and Linear Models, Teaching Faculty, Behavioral Data Science
Dr. Huebner is a data scientist and award-winning statistics educator. He joined the ACMS faculty in 2011 after a successful stint in industry and has since developed and taught numerous applied statistics courses for both undergraduate and graduate students. A defining feature of all his courses is the application of statistical modeling and R computing to the analysis of real-world data. Dr. Huebner is also an active collaborator and research mentor for undergraduate students. He has partnered with several groups at Notre Dame and in the South Bend community on projects such as detecting concussions in young athletes, monitoring the training load of student-athletes via data gathered from wearable GPS devices, and assessing the relation between pre-kindergarteners' socioeconomic status and physical development. His current projects also include using hierarchical regression modeling to study the effect of remote learning due to coronavirus lockdown on students’ writing development. In his spare time, he enjoys spending time with his wife and kids.
Faculty Developer and Teaching Faculty, Time Series Forecasting, Faculty Developer, Probability & Statistics for Data Science
How can data science inform better business forecasts and decisions? To make sense of massive and complex data sets, companies are increasingly turning to data scientists. In his research, Professor Huy Huynh focuses on capturing and analyzing time series data sources and building predictive models in order to gain new insight and improve strategic decision-making.
Professor Huy is an associate teaching professor of business analytics in the Information Technology, Analytics, and Operations (ITAO) Department of the Mendoza College of Business. Huy also serves as a concurrent associate teaching professor in the Department of Applied and Computational Mathematics and Statistics (ACMS) at Notre Dame. A passionate and dedicated teacher, Huy strives to help his students comprehend the material, enjoy learning, and apply what they learn to solve real-world context problems. At Notre Dame since 2012, Professor Huy has developed and taught undergraduate and graduate courses for various programs in ITAO, ACMS, online Master of Science (M.S.) in Data Science, M.S. in Management, M.S. in Business Analytics, MBA, and Executive MBA.
Huy received his Ph.D. in Mathematics and M.S. in Statistics from the Georgia Institute of Technology. In his spare time, he enjoys jogging, listening to personal finance podcasts, and spending time with his wife and two young daughters.
Faculty Developer, Behavioral Data Science
Dr. Luningham is an Assistant Professor of Biostatistics at the University of North Texas Health Science Center. Justin received his PhD in Quantitative Psychology from the University of Notre Dame in May 2018 and an MS in ACMS in 2017. Prior to joining UNTHSC in Fall 2021, Dr. Luningham was a Research Assistant Professor at Georgia State University and a Postdoctoral Fellow in the Center for Computational and Quantitative Genetics at Emory University School of Medicine. Dr. Luningham focuses on original research in quantitative methodology and on interdisciplinary data science consulting for researchers across several domains. In his role, Dr. Luningham has provided analytic support for projects in human genetics, cancer research, epidemiology, health disparities, and developmental psychology. Dr. Luningham's research focuses on data integration, which refers to the scaling and scoring of behavioral outcomes across large databases that use different measurement methods. He also conducts research on longitudinal data analysis and on computational methods for statistical genetics research.
Faculty Developer and Teaching Faculty, Statistical Learning
Dr. Naughton is a Data Scientist in the tech industry, where he designs online experiments, builds machine learning models, and uses statistics to make smarter business decisions. At Notre Dame, he developed and teaches the Statical Learning course, where students learn a toolkit of machine learning methods, and the skills to adapt them for a variety of real-world problems. Brian received his Ph.D. in Statistics from North Carolina State University, researching Bayesian methods for high-dimensional regression problems.
Faculty Developer, Ethics and Policy in Data Science
Dr. Scott Nestler is an Associate Teaching Professor in the IT, Analytics, and Operations Department in the Mendoza College of Business. He also serves as the Academic Director of the MS in Business Analytics program. Professor Nestler teaches courses in statistics, sports analytics, and data ethics to undergraduate and graduate students. Before coming to Notre Dame in 2015, Scott served as an analyst and leader of analytics teams in a variety of locations, including the Pentagon and the U.S. Embassy in Baghdad, Iraq. Professor Nestler has a Ph.D. in management science from the University of Maryland – College Park and is also a Certified Analytics Professional (CAP) and Accredited Professional Statistician (PStat), In his spare time, he likes to cook, read fiction, and travel with his family.
Faculty Developer and Teaching Faculty, Data Visualization
Matthew Sisk is a geospatial data scientist based in Notre Dame’s Navari Family Center for Digital Scholarship. He received his B.S. from the University of South Carolina in Marine Science and Anthropology and his M.A. and Ph.D. in Paleolithic Archaeology from Stony Brook University in 2011 and has worked extensively in GIS-based archaeology and ecological modeling. His research focuses on human-environment interactions, the spatial scale environmental toxins, and community-based research. In the CDS, his primary role is to assist Notre Dame students and faculty with general GIS questions, satellite imagery analysis, data visualization, workflow automation, coding, and data curation.
Academic Director, Data Science Online Master's Program
How can new technologies improve how data science is taught in higher education? An award-winning teacher and widely published author in statistics pedagogy, Professor Roger Woodard has dedicated his career to achieving excellence in teaching data science.
Professor Woodard joined the University of Notre Dame in 2017 as the inaugural director of its new online M.S.-ACMS Data Science graduate program. Woodard came to Notre Dame after 14 years at North Carolina State University. At NCSU, Woodard was a teaching professor in the Department of Statistics and, since 2013, director of online programs in the Department of Statistics. Woodard has won numerous teaching awards, including the NC State Outstanding Teacher Award, the American Statistical Association’s 2005 Waller Education Award for excellence and innovation in teaching, and was named an N.C. State Alumni Distinguished Undergraduate Professor.
Roger Woodard earned a Ph.D. in statistics from the University of Missouri. When not in the classroom, he is an avid traveler and enjoys building furniture.
Teaching Faculty, Probability and Statistics
Vickie Woodard is an assistant teaching professor in the Applied and Computational Mathematics and Statistics (ACMS) department at the University of Notre Dame. She earned her Ph.D. from North Carolina State University in Mathematics and Statistics Education, focusing on best practices for implementing technology in the statistics classroom. She also holds Masters degrees in Mathematics and Statistics and is currently working on a third in Computer Science. Vickie teaches regression and experimental design courses to undergraduate ACMS majors at Notre Dame, as well as Probability for both the Data Science and Professional masters programs in the ACMS department. In her spare time, Vickie likes to take long bike rides or tinker with programming video games.
Ready to Apply?
Our application is now open for a Fall 2023 start, please reach out to our admissions team with any questions you have.