- Program in Interdisciplinary Educational Research (PIER)
The Department of Statistics is a major participant in CMU's Program in Interdisciplinary Educational Research (PIER): A pre-doctoral training grant funded by Institute of Education Sciences, Department of Education.
- Center for the Neural Basis of Cognition (CNBC) Training Program
This is an interdisciplinary program in the brain sciences that offers a certificate rather than a joint PhD. Students take four core courses in cellular, systems, cognitive, and computational neuroscience, and they engage in various community activities at Carnegie Mellon and the University of Pittsburgh.
- Machine Learning
The Ph.D. Program in Machine Learning is for students who are interested in research in Machine Learning and Computational Statistics. The program is operated jointly by faculty in the School of Computer Science and Department of Statistics.
- PhD in Statistics & 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.
- Masters 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 (CMART) in Methodology and Interdisciplinary Research
Funded by the US 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.
