Changing the world, bit by bit.
Master of Science in Computational Analysis and Public Policy (MSCAPP) at the University of Chicago
Learn moreAbout MSCAPP
The M.S. in Computational Analysis & Public Policy (MSCAPP) is a rigorous, two-year program offered jointly by the Harris School of Public Policy and the Department of Computer Science at The University of Chicago.
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Profiles
Alden Golab (MSCAPP '17)
What I found compelling about CAPP was that it was taking all of the things that I was interested in and then applying them to things that actually matter, that are really important for people’s everyday lives, in a way that would prepare me for a career of making decisions and helping make things happen. This program can’t be found anywhere else.
Fatima Irfan (MSCAPP '25)
The program’s level of intentionality—about teaching technology and data science with the policy perspective and vice versa—was something I didn't find in other programs. I am fascinated with telling stories about people using data, and the MSCAPP will equip me with the computational and analytical skills necessary to utilize data to drive innovative and equitable solutions in policy.
César Núñez Huamán (MSCAPP '26)
The public policy aspect is my motivation, but I really enjoy the technical work with the data. The computer science department teaches you to code and think as a computer scientist—it actually changes your mindset of how to code.
Matthew Ryan (MSCAPP '24)
While in the Army, I learned to always think about how intentions and outcomes affect team members, and the way the MSCAPP program approaches the ethical aspects of technology and data in the service of public policy feels like a natural extension of that way of thinking.
Damini Sharma (MSCAPP '20)
Working with data, it’s very easy to start to treat people who are probably going through some of the worst times of their lives as data points. I think when possible it’s really important to get out there and confront the reality of what’s behind your computer screen.