MS in Computational Analysis and Public Policy (MSCAPP)

Apply big data to big problems, and prepare yourself for a career at the intersection of public policy and data science.

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 download the MSCAPP program overview sheet.

Academics

The University of Chicago’s rigorous two-year Master of Science in Computational Analysis and Public Policy 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 curriculum builds foundational knowledge in computer science, data science, statistics, and public policy analysis. Students then go on to complete advanced coursework in:

Econometrics
Machine learning
Big data methods
Data visualization
Application development

All coursework is taught with a focus on applying these skills in the policy realm.

Career Outcomes

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

Explore MSCAPP Career Outcomes

STEM Designation & Visa Information

MSCAPP is categorized under a code on the DHS STEM list. Students on F-1 visas who earn this degree may be eligible to apply for a 24-month extension of their post-completion Optional Practical Training (OPT), provided they meet all eligibility criteria at the time of application.