Master of Science in Computational Analysis and Public Policy
Apply big data to big problems, and prepare yourself for a career at the intersection of public policy and data science.
At a Glance
- Type
- Master's
- Enrollment
- Full-time
- Duration
- 2 years Full-time
- Format
- In-person
- Cost
This rigorous two-year program, offered jointly by the Harris School of Public Policy and the Department of Computer Science, builds foundational knowledge of computer science, statistics, and public policy analysis.
You will then go on to 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 have become civic technologists, data scientists, and policy researchers bringing modern technology to bear on the societal problems that matter most.
Designed For
Designed for professionals seeking to gain the skills and analytical savvy to bring modern technology to bear on the societal problems that matter most. Students come from a wide variety of backgrounds, and previous training in economics, statistics, or computer science is not a requirement. MSCAPP graduates go on to careers as civic technologists, data scientists, policy researchers, and everything in between.
Offered by The University of Chicago's Harris School of Public Policy
