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.

IDPS/Mathematics Chair: Philippe Rigollet

Seminar                                                                                               Grade Requirement
IDS.190 Doctoral Seminar in Statistics                                                 P
Probability (pick one)
6.7700 (6.436) Fundamentals of Probability                                                    B
18.675 Theory of Probability                                                                B
Statistics (pick one)
18.655 Mathematical Statistics                                                            A-
IDS.160 Mathematical Statistics – A Non-Asymptotic Approach         A-
Computation & Statistics (pick one)                        Grade Requirement: B (all options)
6.7220 (6.252/15.084) Nonlinear Optimization
6.7230 (6.256) Algebraic Techniques and Semidefinite Optimization
6.7810 (6.438) Algorithms for Inference
6.7900 (6.867) Machine Learning
6.7910 (9.520/6.860) Statistical Learning Theory and Applications
6.7320 (18.337/6.338) Numerical Computing and Interactive Software
18.338 Eigenvalues of Random Matrices
6.5210 (18.415/6.854) Advanced Algorithms
6.5220 (18.416/6.856) Randomized Algorithms
18.657 Topics in Statistics
Data Analysis (pick one)                                            Grade Requirement: B (all options)
6.8800 (6.555, 16.456/HST.582) Biomedical Signal and Image Processing
6.8300 (6.869) Advances in Computer Vision
9.073/HST.460 Statistics for Neuroscience Research
9.272/HST.576 Topics in Neural Signal Processing
18.367 Waves and Imaging
6.3732 (IDS.131/6.439) Statistics, Computation and Applications

 


© MIT Statistics + Data Science Center | 77 Massachusetts Avenue | Cambridge, MA 02139-4307 | 617-253-1764 |
      
Accessibility