Big data is in big demand. With the potential to impact nearly every sector of the global economy, data science is emerging as one of the fastest-growing professions of the 21st century. Earn your UW-Eau Claire Master's degree in Data Science online.
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Discover Big Opportunities in Big Data
Today's organizations need qualified professionals with the skills to transform big data into big insights and better decisions. Big data means big opportunities for you and your career and this master's program was designed to help you take the lead in this growing, exciting and high-paying field.
Data Science and You
Earn your UW-Eau Claire Master's degree in Data Science (MSDS) online. This 30-credit online master's degree program is offered through a collaboration among six University of Wisconsin campuses and the University of Wisconsin-Extension. You can earn your UW-Eau Claire degree while studying with highly qualified faculty members from a variety of UW campuses.
If you have an undergraduate degree and an acumen for business analytics, software proficiency, creativity and communication skills, then this degree is for you.
- Harness the power of large and complex data sets.
- Use the latest tools and analytical methods.
- Enjoy the flexibility of online courses.
- Engage with expert University of Wisconsin faculty.
- Pay the same affordable tuition, in or out of state.
- Graduate from an institution employer's respect.
- Prepare to take your career to the next level.
Learn more about the MSDS degree.
Meet Nicholas Sondelski, a current student in the Data Science program.
Who should attend
Anyone with an undergraduate degree and an acumen for business analytics, software proficiency, creativity and communication skills.
Instructors
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Marie-Claire Koissi is a Professor of Mathematics at the University of Wisconsin-Eau Claire (UWEC). She received her undergraduate degree in mathematics (with minor in physics) from University of Cocody, in Ivory Coast, and earned a Ph.D. in Mathematics from Åbo Akademi in Finland (2006). Prior to joining UWEC, Dr. Koissi worked as researcher at Åbo Akademi in Finland, at Max Planck Institute in Rostock, Germany, and at Penn State, PA. Her research areas are in stochastic mortality modeling, fuzzy logic in insurance, data-mining and machine learning in actuarial sciences, and more recently, the impact of artificial intelligence on mortality improvement and human longevity.
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Allison Beemer is an Associate Professor of Mathematics at the University of Wisconsin-Eau Claire. Before starting at UWEC in 2020, she worked as a postdoctoral researcher in Electrical & Computer Engineering at Arizona State University, the New Jersey Institute of Technology, and the Army Research Laboratory. She earned her Ph.D. in Mathematics from the University of Nebraska-Lincoln in 2018. Dr. Beemer's research is in the areas of Coding Theory and Information Theory; currently she is excited about problems having to do with correcting adversarial interference in communication networks, methods of community detection in datasets, and maintaining user privacy while downloading data from servers.