MS Data Analytics and Policy at University of Chicago

The MS in Data Analytics and Policy is an accelerated one-year master's degree at the Harris School combining core coursework, applied learning and electives, for applicants with a strong quantitative foundation.

Faculty: Harris School of Public Policy  |  Duration: 11 months (one year)  |  Study mode: full-time  |  Location: Chicago, IL, United States

What you will study

Core courses cover programming, probability and statistics, regression, machine learning, program evaluation, microeconomics and political economy; sample courses include Data and Programming for Public Policy I and II, Advanced Statistics I and II, Machine Learning for Public Policy, AI for Public Policy. Applied learning is a policy lab, simulation lab or applied coursework; electives focus on areas such as climate and energy, education, finance, health, international development or urban policy.

Career pathways

Government, consulting, nonprofits, think tanks, international organizations and private-sector firms working on policy challenges.

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