Data Science for Public Policy (MS) at Cornell University

Programme overview

The Master of Science in Data Science for Public Policy trains students in data science tools together with the policy analysis, ethics and social science frameworks for using them, for careers at the local, state, national and global levels. Delivered in person in Ithaca, NY.

Faculty: Brooks School of Public Policy | Duration: 41 credits | Location: Ithaca, NY, United States

What you will study

The 41-credit curriculum includes Foundations of Machine Learning for Public Policy, Causal Inference and Data Analysis, Ethics in Data, Data Science, and AI, Data Management and Programming, Data Visualization and the Brooks Engaged Learning Capstone, plus electives.

Career pathways

Roles focused on using data science tools, such as data scientist, and roles managing or responding to their use, such as policy analyst.

Official programme page

Application information

Entry requirements

Holistic review of transcripts from all institutions attended, two letters of recommendation, resume, statement of purpose, online video interview, and TOEFL or IELTS scores if applicable.

Graduate fields set their own fall and spring admission deadlines; some fields (for example Communication PhD) admit for fall only.

Graduate School applications are submitted online through the Graduate School application; the application fee is $105 (non-refundable, waivers available). Each graduate field sets its own fall and spring deadlines, and many fall between early December and mid-January.

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