Training Programs | CMU Statistics

Ph.D. in Statistics and Machine Learning
The joint Ph.D. Program in Statistics and Machine Learning, offered by the Department of Statistics and the Machine Learning Department in Carnegie Mellon's School of Computer Science, aims to prepare students for careers in statistical machine learning, at the interface between computer science and statistics.
Ph.D. in Statistics and Public Policy
The Department of Statistics offers a joint program in collaboration with the H. John Heinz III School of Public Policy and Management leading to a Ph.D. in Statistics and Public Policy. This five-year program provides students with comprehensive preparation at the Ph.D. level in both statistics and public policy.
Ph.D. in Statistics and Neural Computation
A joint Ph.D. is offered by the Department of Statistics together with the Center for the Neural Basis of cognition. The program requires students to gain Ph.D.-level expertise in statistics while also taking coursework and doing research in the brain sciences.
M.Sc. in Computational Finance
Introduced in 1994, Carnegie Mellon's pioneering Master of Science in Computational Finance (MSCF) is considered by many today to be the top quantitative financial engineering program in the country. The MSCF program is the joint venture of four colleges on our campus - the Tepper School of Business, the Mathematical Sciences Department, the Department of Statistics, and the Heinz College.
CMART: Carnegie Mellon and RAND Traineeships in Methodology and Interdisciplinary Research
Funded by the U.S. Department of Education's Institute of Education Sciences, CMART focuses on practical statistical, quantitative and methodological training needed for scientifically rigorous education research. CMART postdoctoral work on one or more interdisciplinary projects led by researchers affiliated with Carnegie Mellon, RAND, or the NSF-funded Pittsburgh Science of Learning Center (PSLC), as well as their own research.
PIER: Program in Interdisciplinary Educational Research
The Department of Statistics is a major participant in CMU's PIER, a pre-doctoral training grant funded by the U.S. Department of Education's Institute of Education Sciences.
SERG: Statistics in Education Research Group
SERG is a forum for members of the Department of Statistics and their colleagues to discuss issues related to interdisciplinary education research.

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