The Joint Ph.D. Program in Machine Learning and Statistics is a new program aimed at preparing students for academic careers in both CS and Statistics departments at top universities.
This PhD program differs from the Machine Learning PhD program in that it places significnatly more emphasis on preparation in statistical theory and methology. Similarly, this program differs from the Statistics PhD program in its emphasis on machine learning and...
The Ph.D. in Statistics with an Emphasis on a Substantive Field.
Motivated by the exciting interdisciplinary research currently taking place at Carnegie Mellon, we are in the process of developing a number of new Programs. In principle, each of these programs is fashioned after the Joint Ph.D. Program in Statistics and Public Policy. A student with a strong interest in a particular substantive area may, with faculty approval, substitute several upper-division...
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. The curriculum draws on existing courses in both Statistics and the Heinz School, recognizing that selected courses can meet, simultaneously,...
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