Data Science for Public Policy (MS)
Cornell University · NY · DATA-SCIENCE-PUBLIC-POLICY
Data Science for Public Policy (MS) is a Postgraduate degree at Cornell University, NY. It covers areas like data science, data analytics, data mining, artificial intelligence, machine learning, policy analysis. The summary below is compiled from public course information — approximate, not official.
Cornell University
Postgraduate
What you'll study in Data Science for Public Policy (MS)
Example subjects: Designing Your Career in Policy, Data Science, and Sustainability, Using Big Data to Solve Economic and Social Problems, Public Administration, Intermediate Microeconomics for Public Affairs, Artificial Intelligence: Law, Ethics, and Policy, Program Evaluation for Community Organizations, Foundations of Machine Learning for Public Policy, Unstructured Data Science Modeling, Project Management, Strategic Stakeholder Engagement, Effective Writing for Public Policy, International Public and NGO Management.
Frequently asked questions
What will I study in Data Science for Public Policy (MS)?
Data Science for Public Policy (MS) covers areas like public-policy, data-science, policy-analysis, data-analytics, data-mining, social-policy, artificial-intelligence, political-science.
Who offers Data Science for Public Policy (MS)?
Data Science for Public Policy (MS) is offered by Cornell University, NY.
Considering Data Science for Public Policy (MS)?
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Sources: Cornell University official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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