Interdisciplinary PhD in Mathematics and Statistics
Requirements:
Students must complete their primary program’s degree requirements along with the IDPS requirements. Statistics requirements must not unreasonably impact performance or progress in a student’s primary degree program.
Seminar | |
IDS.190 | Doctoral Seminar in Statistics |
Probability (pick one) | |
6.436 | Fundamentals of Probability |
18.175 | Theory of Probability |
Statistics | |
18.655 | Mathematical Statistics |
Computation & Statistics (pick one) | |
18.337/6.338 | Numerical Computing and Interactive Software |
18.338 | Eigenvalues of Random Matrices |
18.415/6.854 | Advanced Algorithms |
18.416/6.856 | Randomized Algorithms |
18.657 | Topics in Statistics |
9.520/6.860 | Statistical Learning Theory and Applications |
6.252/15.084 | Nonlinear Optimization |
6.256 | Algebraic Techniques and Semidefinite Optimization |
6.438 | Algorithms for Inference |
6.867 | Machine Learning |
Data Analysis (pick one) | |
18.367 | Waves and Imaging |
9.073/HST.460 | Statistics for Neuroscience Research |
9.272/HST.576 | Topics in Neural Signal Processing |
6.555, 16.456/HST.582 | Biomedical Signal and Image Processing |
6.869 | Advances in Computer Vision |
IDS.131/6.439 | Statistics, Computation and Applications |