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.
Dr. Adaikkalavan received his Ph.D. in Computer Science and Engineering from The University of Texas at Arlington in August 2006. His advisor was Prof. Sharma Chakravarthy. His research interests include; Information security, Data stream processing, Event stream processing, Complex event processing, Database management systems, and Computer Science education. He is currently an Associate Professor in the Computer Science Department at Indiana University – South Bend.
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.
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, Professor Jennifer Cronin, 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 in the marketing and management departments focused on 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 a decade 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. In her free time, Professor Cronin enjoys reading, running, crafting, renovating her 1920s Historic Home and spending time with her husband and their 4-year-old, Oscar and almost 2-year old, Evie.
Chris Frederick is the Manager of the Business Intelligence team at the University of Notre Dame. He also serves as the Program Director for Notre Dame's Enterprise Data Warehouse and Data-Driven Decision-Making program. Previously, he was an adjunct professor of data visualization for the Mendoza College of Business.
Chris is also the co-founder of the South Bend Code School, which has a social mission to provide computer science education to underrepresented minorities in technology from ages 7 to 18.
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.
How can rigorous statistical training solve real-world problems? By drawing on industry experience, Professor Alan Huebner, an Associate Teaching Professor, has established himself as a leading researcher in the fields of computerized adaptive testing, sequential mastery testing, and diagnostic classification modeling.
Prior to his arrival at Notre Dame in 2011, Professor Huebner was a Research Associate at ACT, Inc., a leader in the educational testing industry.
In his teaching, Professor Huebner draws on his industry experience to offer innovative classes that combine exacting statistical training with real-world problems; his classes feature analyses of real data sets using R and SAS and emphasize fundamental concepts in statistical modeling as well as modern techniques such as resampling methods, penalized estimation, and Bayesian statistics. A dedicated teacher and mentor, Professor Huebner oversees numerous undergraduate research projects, all of which involve using R to write code for statistical simulations and perform complex analyses. Professor Huebner also collaborates with members of the Notre Dame community on various projects such as analysis of concussions in boxers and young athletes. Professor Huebner obtained his Ph.D. from the University of Illinois at Urbana-Champaign. Outside of teaching, he enjoys exploring the South Bend area with his wife and kids.
How can data science inform better investment decisions? To make sense of massive and complex financial data sets, companies are increasingly turning to data scientists for answers. In his research, Professor Huy Huynh focuses on capturing and analyzing new sources of financial data, building predictive models and running simulation study of market events.
Prof. Huynh joined the Notre Dame faculty in 2012 as an Associate Teaching Professor in the Department of Applied and Computational Mathematics and Statistics. He also serves as a concurrent Assistant Professor of the Practice in the Department of Management, Mendoza College of Business. A passionate and dedicated teacher, Professor Huynh strives to help his students comprehend the material, enjoy learning, and apply what they learn to solve real-world context problems. An active member of the Chicago Board Options Exchange (CBOE) and The Options Industry Council (OIC), Professor Huynh often brings his trading experience into a classroom environment.
Professor Huynh received his Ph.D. in Mathematics in 2012 and M.S. in Statistics in 2009 from Georgia Institute of Technology. In his spare time, he enjoys watching college football, playing badminton and singing karaoke.
Dr. Justin Luningham is a research assistant professor of biostatistics in the Department of Population Health Sciences in the School of Public Health. Dr. Luningham’s primary research interests focus on methodology for combining multiple independent datasets through integrative data analysis, using both latent variables models and imputation of missing data. He is also interested in machine learning applications to research in public health and behavioral sciences. Substantively, Dr. Luningham is interested in understanding complex causes of mental health problems across the lifespan. He has applied his methodological expertise to the study of genetic and environmental predictors of problematic behaviors in children, and he has collaborated with others on longitudinal studies of mental health spanning adolescence into early adulthood.
Dr. Luningham completed his graduate training at the University of Notre Dame, receiving his MS in Applied and Computational Mathematics and Statistics and his Ph.D. in Quantitative Psychology. Prior to joining Georgia State in November 2019, Dr. Luningham was a Postdoctoral Fellow in the Center for Computational and Quantitative Genetics at Emory University School of Medicine.
In addition to teaching the Statistical Learning course for the Online Master's in Data Science program, Brian works as a data scientist in the tech industry. His role consists of designing online experiments, building machine learning models, and using statistics to make smarter business decisions. In his course, he always tries to connect the content to practical examples of problems that he has encountered in my regular job. Brian graduated with his Master's and Ph.D. degrees in statistics from North Carolina State University.
How should ethical considerations impact the use of data and analytics? A Certified Analytics Professional (CAP) and Accredited Professional Statistician (PStat), Professor Scott Nestler joined Mendoza College of Business in 2015 as an Associate Teaching Professor. Drawing on his experiences in academia, the military, and industry, Professor Nestler’s research focuses on ethical considerations related to the use of data and analytics. This interest informs his research and teaching and has helped him shape important regulatory documents for those working with big data.
Professor Nestler teaches courses in statistics, business intelligence/data mining, and sports analytics to undergraduate and MBA students. Before coming to Notre Dame, Prof. Nestler 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.
As one of the developers of the Certified Analytics Professional (CAP) program by the Institute for Operations Research and the Management Sciences (INFORMS), he insisted that the credential holders agree to abide by a Code of Ethics. Prof. Nestler has a Ph.D. in management science from the University of Maryland – College Park. In his spare time, Professor Nestler likes to cook, read fiction, and travel with his family.
James Ng is a Senior Data Scientist at the University of Notre Dame's Mendoza College of Business. He has extensive experience applying empirical research methods across a wide range of topics in the social sciences and business. He has a Ph.D. in Economics from the University of Southern California.
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 statistics are 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 most recently, 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.