Interdisciplinary PhD in Economics and Statistics
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.
The Economics program allows students to replace required courses in Probability and Statistics with more advanced courses by petition.
Special note about integrating IDPS requirements and Economics requirements:
The Doctoral Program in Economics requires students to complete two majors and two minors. IDPS requires one of these major fields to be Econometrics. The IDPS requirement for Computation & Statistics may be used to satisfy one of the minor field requirements in the Doctoral Program in Economics as long as the student’s other minor field is in Economics, and is not a research or adhoc minor.
IDPS/Economics Chair: Victor Chernozhukov
Seminar  
IDS.190  Doctoral Seminar in Statistics 
Probability (pick one)  
6.436  Fundamentals of Probability 
18.175  Theory of Probability 
Statistics (pick one) 

18.655  Mathematical Statistics 
18.6501  Fundamentals of Statistics 
IDS.160  Mathematical Statistics – a NonAsymptotic Approach 
Computation & Statistics (pick one)  
9.520/6.860  Statistical Learning Theory and Applications 
6.867  Machine Learning 
Or a more advanced subject by petition.  
Data Analysis (pick one)  
14.192  Econometrics Paper*
and one of the following courses: 
14.387  Applied Econometrics 
14.386  New Econometric Methods 
*The new Econometrics Paper – 14.192 – no longer requires a focus on Data Analysis. Students pursuing the IDPS will need to keep this focus on Data Analysis in their paper to successfully meet IDPS requirements. The IDPS/Economics Chair will verify that admitted students submit an Economentrics Paper that satisfies the IDPS requirements.