MA/MS in Data Analytics

Housed in the Harris School, this one-year Master of Science is aimed at students and working professionals who wish to bring data, machine learning and evidence-driven techniques to questions of policy. Required courses teach programming, probability, statistics, regression, machine learning and evaluating programs, alongside microeconomics and political economy. Students get applied experience in a policy lab or a simulation lab, or through coursework connected to decisions made in public, nonprofit and private settings. Electives allow further work on methods or a turn toward topics such as energy and climate, education, finance, health, global development or urban policy. The program page describes the year in three stages, moving from foundations through applied practice to electives, and includes a link for applying. Graduates are prepared for positions in government agencies, consulting firms, nonprofit groups, research institutes, international bodies and private companies working on policy issues. The degree suits people who want quantitative skills grounded in real policy problems rather than methods alone.