Carnegie Mellon University campus

Engineering

Joint PhD Machine Learning and Public Policy at Carnegie Mellon University

Carnegie Mellon University, United States

Programme overview

Run jointly by the Machine Learning Department and Heinz College; students develop new machine learning technologies and apply them to policy domains.

Faculty: Kenneth C. Griffin School of Computer Science  |  Department: Machine Learning Department  |  Study mode: full-time  |  Location: Pittsburgh, PA, United States

What you will study

Graduation requirements match the regular MLD PhD; the thesis must contribute to the combination of ML and the partner field, and students TA twice (only one TA-ship in MLD).

Official programme page

Application information

Entry requirements

Admissions requirements vary by programme and are published on the department's programme site; apply via the SCS Graduate Admissions process.

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