Tulips growing in front of the UW-Madison logo

Sign up for a summer data science workshop

Learn more

Woman studying at laptop computer.

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.

Students outdoors showing Wisconsin pride

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!

Two people discussing data on a screen

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

News and Announcements

Faces of Data Science

Head shot of Anthony Gitter

“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.