Interdisciplinary PhD in Social & Engineering Systems 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:
Seminar | |
IDS.190 | Doctoral Seminar in Statistics |
Probability (pick one) | |
6.436 | Fundamentals of Probability |
18.175 | Theory of Probability |
Statistics | |
18.655 | Mathematical Statistics |
Computation & Statistics (pick one) | |
15.077 | Statistical Learning and Data Mining |
14.382 | Econometrics |
6.438 | Algorithms for Inference |
9.520 | Statistical Learning Theory and Applications |
17.804 | Quantitative Research Methods III: Generalized Linear Models and Extensions |
14.381 | Statistical Methods in Economics |
6.434 | Statistics for Engineers and Scientists |
6.867 | Machine Learning |
17.802 | Quantitative Research Methods II: Casual Inference |
17.806 | Quantitative Research Methods IV: Advanced Topics |
Data Analysis (pick one) | |
Any acceptable Data Analysis subject from the Interdisciplinary Doctoral Program in Statistics of Econ or Math. |