Interdisciplinary PhD in Political Science 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.
Grade Requirements: B- in all required coursework (see options below)
IDPS/Political Science Chair: Teppei Yamamoto
Seminar | |
IDS.190 | Doctoral Seminar in Statistics |
Probability (pick one) | |
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) | |
14.381 | Statistical Methods in Economics |
6.867 | Machine Learning |
9.520 | Statistical Learning Theory and Applications |
Data Analysis (pick one) | |
17.802 | Quantitative Research Methods II: Casual Inference |
17.804 | Quantitative Research Methods III: Generalized Linear Models and Extensions |
17.806 | Quantitative Research Methods IV: Advanced Topics |
© MIT Statistics + Data Science Center | 77 Massachusetts Avenue | Cambridge, MA 02139-4307 | 617-253-1764 |
Accessibility