The Master of Science in Computational Analysis and Public Policy (MSCAPP) curriculum is a three-legged stool, building foundational knowledge of computer science, statistics, and public policy analysis. Students 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.
MSCAPP students have come from prominent places in governance like the White House and the Japanese Ministry of Finance, non-profit organizations like the World Bank, and technology companies like MongoDB. Still, not all applicants have a background in economics, statistics, or computer science—drive, passion, and intellectual curiosity define the best MSCAPP candidates.