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 coursework (see options below)
PhD Earned on Completion: Political Science and Statistics
IDPS/Political Science Chair: Naoki Egami
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)
| 6.7730 | Modern Mathematical Statistics |
| 18.655 | Mathematical Statistics |
| 18.6501 | Fundamentals of Statistics |
| IDS.160 | Mathematical Statistics – A Non-Asymptotic Approach |
Computation & Statistics (pick one)
| 14.380/14.381 | Statistical Methods in Economics/Estimation and Inference for Linear Causal and Structural Models |
| 6.7900 (6.867) | Machine Learning |
| 9.520 [J] | Statistical Learning Theory and Applications |
Data Analysis (pick one)
| 17.802 | Quantitative Research Methods II: Causal Inference |
| 17.804 | Quantitative Research Methods III: Generalized Linear Models and Extensions |