Computational Analysis and Public Policy

专业详情

We live in a data-driven world, and public policy is no exception. Data science and technology have become increasingly important in government decision-making, creating a need for individuals trained in the ethical application of computer science for public policy.

For more information, see the MSCAPP website, read this blog (which contains a link to a program overview webinar), or read the MSCAPP Brochure (PDF, 1.5 MB).

The University of Chicago’s rigorous two-year Master of Science in Computational Analysis and Public Policy (MSCAPP) program, among the first in the nation, is jointly offered by the University of Chicago Harris School of Public Policy and the Department of Computer Science. MSCAPP gives you the skills and analytical savvy to bring modern technology to bear on the societal problems that matter most.

The core set of UChicago MSCAPP courses builds foundational knowledge in computer science, statistics, and public policy analysis. Students then go on to complete advanced coursework in econometrics, machine learning, big data methods, data visualization, and application development—all while learning how to apply these skills in the policy realm.

MSCAPP graduates go on to successful careers as civic technologists, data scientists, policy researchers, and everything in between.

Consistent with the highly quantitative and analytic nature of the Harris School’s MSCAPP degree, Harris has categorized the MSCAPP under a code which is currently on the DHS STEM list. Students on F-1 visas who have earned a degree that has been designated by the Department of Homeland Security (DHS) as a STEM degree may be eligible to apply for a 24-month extension of their post-completion optional practical training (OPT) so long as they meet all eligibility criteria at the time of application.