Course Requirements for the MBA Major
in Statistics and Data Science

The Statistics and Data Science Major may be tailored in accordance with student’s interests, which may involve a second major. The Statistics and Data Science Major requires the core plus 4 CUs of electives. Waiving the Statistics and Data Science fixed core requirement entirely or placing into and passing STAT 6210 fulfills the STAT fixed core requirement for this major. Some courses offered by other departments are permitted (students who wish to include courses from other departments in the major should request permission to include these from the Statistics and Data Science Department advisor and file this permission with the MBA Program Office).

Courses taken on a Pass/Fail basis cannot be counted toward the major

The following additional courses beyond STAT 6130/6210 offered by the Department of Statistics and Data Science are eligible for the major:

STAT 7010: Modern Data Mining
STAT 7050: Statistical Computing with R
STAT 7100: Data Collection and Acquisition: Strategies and Platforms
STAT 7110: Forecasting Methods for Management
STAT 7220: Predictive Analytics for Business
STAT 7250: Sports and Gaming Analytics
STAT 7700: Data Analytics and Statistical Computing
STAT 7760: Applied Probability Models in Marketing
STAT 7770: Introduction to Python for Data Science
STAT 8530: Actuarial Statistics
STAT 8990: Independent Study Project
STAT 9200: Sample Survey Methods
STAT 9740: Modern Regression for the Social, Behavioral, and Biological Sciences

Link to 9000-level doctoral course descriptions: https://statistics.wharton.upenn.edu/programs/phd/course-descriptions/.

Advisor for the MBA Major in Statistics and Data Science: Dr. Richard Waterman (waterman@wharton.upenn.edu).