Study Data Science
Data Science is one of the fastest growing majors at UW-Madison. Whether you are interested in a data science career, course, or workshop, opportunities abound here! Learn about undergraduate majors, graduate programs, the data science certificate, workshops, and internships and careers.
Explore Campus Resources
Data science has applications in all disciplines, and Data Science @ UW is your connection to data science institutes, centers, and programs across the UW-Madison campus. It’s also the place to find research funding and resources, coding meetups, seminars and events, data science faculty and communities of practice, student organizations, and more!
Collaborate With Us
Data science innovation at UW-Madison furthers the Wisconsin Idea by fueling discovery and economic development in all corners of the state and beyond. We are committed to fostering an inclusive culture in data science. Campus, industry, and community partners can benefit from our data science services.
Data Science Events
- November
- November 11
- November 12Community Engaged Research with Workers in the Age of AIEngaged Scholars Talk 3:30 PM, 140 Science Hall
- November 18Exploring AI in Teaching: Refining Your PromptsCenter for Teaching, Learning & Mentoring12:00 PM, Online
News and Announcements
UW–Madison partners with Microsoft and TitletownTech to accelerate AI-driven scientific discovery
The University of Wisconsin–Madison is partnering with Microsoft and TitletownTech on a new collaboration designed to accelerate scientific discovery through artificial intelligence.
Data Science Institute Welcomes New AI Faculty to Campus
DSI recently hosted a reception welcoming new RISE-AI faculty to UW–Madison, providing them with an opportunity to meet and identify shared research interests with DSI’s faculty and staff affiliates.
RISE-AI Collaboration HQ Will Build Connections and Advance Research
This fall, the Data Science Institute is assuming responsibility for a new, campus-wide effort called the RISE-AI Collaboration HQ. This group will catalyze research communities centered on innovative focus areas and build connections among UW–Madison’s AI community, which includes the more than 35 new RISE-AI hires and current faculty, staff, and students.
UW–Madison Joins the AI Alliance
This summer, UW–Madison joined the AI Alliance, an international community of developers, researchers, industry leaders, and advocates who collaborate to advance safe, responsible AI rooted in open innovation.
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Faces of Data Science
“It’s easy to fall into the trap of producing new ideas and new computational methods that get further disconnected form the real needs of domain scientists. We always try to stay connected to the domain scientists and work with the many great people right here on this campus who are working on the early stages of drug discovery.”
Anthony Gitter
Associate Professor, Department of Biostatistics and Medical Informatics; Jeanne M. Rowe Chair, Morgridge Institute for Research
Anthony Gitter grew up in Wisconsin, but that wasn’t the main reason he returned to his home state for a joint faculty appointment at UW–Madison and the Morgridge Institute. As a computational biologist, he is motivated to do collaborative, intellectually stimulating work that benefits society while advancing frontiers of knowledge. This unique faculty position offered him the opportunity to “be the researcher I wanted to be.”
Gitter designs novel computational methods to study diseases, particularly viral infections and cancer, and develop new drugs and proteins. A core problem in biology is understanding how cells respond to changes. Gitter’s team creates algorithms to trace messages passed between networks of biomolecules within cells; for example, to understand what happens when human cells are infected with viruses. His lab also develops machine learning models to dramatically speed up the process of drug discovery, collaborating with domain scientists to target the most promising chemicals for lab experiments.
Open science and open source are part of the Gitter Lab’s culture, and his team openly shares the data, code, and software they’ve developed. To build trust in AI and machine learning, Gitter believes that open, transparent practices are critically important.