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.

PhD Earned on Completion: Mathematics and Statistics

IDPS/Mathematics Chair: Philippe Rigollet

Seminar

IDS.190Doctoral Seminar in Statistics – *only Fall*P

Probability (pick one)

6.7700 (6.436)Fundamentals of ProbabilityB
18.675Theory of ProbabilityB

Statistics (pick one)

6.7730Modern Mathematical StatisticsA-
18.655Mathematical StatisticsA-
IDS.160Mathematical Statistics – A Non-Asymptotic ApproachA-

Computation & Statistics (pick one)

6.7220 (6.252/15.084)Nonlinear OptimizationB
6.7230 (6.256)Algebraic Techniques and Semidefinite OptimizationB
6.7810 (6.438)Algorithms for InferenceB
6.7900 (6.867)Machine LearningB
6.7910 (9.520/6.860)Statistical Learning Theory and ApplicationsB
6.7320 (18.337/6.338)Numerical Computing and Interactive SoftwareB
18.338Eigenvalues of Random MatricesB
6.5210 (18.415/6.854)Advanced AlgorithmsB
6.5220 (18.416/6.856)Randomized AlgorithmsB
18.657Topics in StatisticsB

Data Analysis (pick one)

6.8800 (6.555, 16.456/HST.582)Biomedical Signal and Image ProcessingB
6.8300 (6.869)Advances in Computer VisionB
9.073/HST.460Statistics for Neuroscience ResearchB
9.272/HST.576Topics in Neural Signal ProcessingB
18.367Waves and ImagingB
6.3732 (IDS.131/6.439)Statistics, Computation and ApplicationsB