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
- July
- July 20
- July 21
- July 22
News and Announcements
The future is now: College of Computing & Artificial Intelligence officially launches
On July 1, the University of Wisconsin–Madison officially launched the College of Computing & Artificial Intelligence (CAI), its first new school or college in more than 40 years.
UW–Madison designates 2026 as the ‘Year of AI Readiness and Competency’
UW–Madison will designate 2026 as the “Year of AI Readiness and Competency” in a coordinated, campuswide effort to ensure that students, faculty and staff are prepared to use artificial intelligence thoughtfully, responsibly and in service to the Wisconsin Idea.
Machine Learning Software Workshop Brings Scientists From Across the US to Campus
Forty-four participants from 11 universities, national laboratories, research organizations, and companies across the United States came to UW–Madison to learn new open source tools and technologies.
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.
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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
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.