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.
Grade Requirements: B+ in all required courses (for students submitting forms after Spring 2025)
PhD Earned on Completion: Cognitive Science and Statistics or Neuroscience and Statistics
IDPS/BCS Chair: Sasha Rakhlin
| Seminar | |
| IDS.190 | Doctoral Seminar in Statistics – *only available in Fall* |
| Probability (pick one) | |
| 6.7700 (6.436) | Fundamentals of Probability |
| 18.675 | Theory of Probability |
| Statistics (pick one) | |
| 18.655 | Mathematical Statistics |
| 18.6501 | Fundamentals of Statistics |
| IDS.160 | Mathematical Statistics – a Non-Asymptotic Approach |
| Computation & Statistics (pick one) | |
| 6.8800 (6.555/16.456) | Biomedical Signal and Image Processing |
| 6.7900 (6.867) | Machine Learning |
| 9.190 | Computational Psycholinguistics |
| 9.520 | Statistical Learning Theory and Applications |
| 9.660 | Computational Cognitive Science |
| Data Analysis (pick one) | |
| 7.571 and 7.572 | Quantitative Analysis of Biological Data and Quantitative Measurements and Modeling of Biological Systems |
| 9.073 | Statistics for Neuroscience Research |
| 9.272 | Topics in Neural Signal Processing |
| 9.583 | Functional Magnetic Resonance Imaging: Data Acquisition and Analysis |