Statistics and Data Science, Minor

The aim of statistical modeling is to empower effective decision making, and the field's unique contribution is its ability to incorporate multiple levels of uncertainty in the framing of wise decisions. Over the last few years, the development of new computational tools and the unprecedented evolution of “big data” have propelled statistical modeling to new levels. Today, statistical modeling and machine learning have reached a level of impact that no large organization can afford to ignore. The information landscape is changing as it has never changed before.

Statistics and Data Science, Minor

This minor is for students outside of Wharton. Single-degree and dual-degree students with Wharton may pursue a statistics concentration instead.

Pre-Requisites 1
MATH 1410Calculus, Part II1
or MATH 1510 Calculus, Part II with Probability and Matrices
Select one of the following:2
Introductory Business Statistics
and Introductory Business Statistics
Introductory Statistics
and Introductory Statistics
and Statistical Inference
Engineering Probability
and Statistics for Data Science
Core Course
STAT 4300Probability1
Select 2 course units of STAT courses2
Select 1 course unit of STAT or other approved course1
Additional Elective 2
Total Course Units7

The prerequisite may also be satisfied with 2 course units of Economic Statistics, such as ECON 2300 and 104. These students do not need to take any other introductory courses, but they must take all upper-level course from within the Statistics and Data Science Department.


Since STAT 4300 Probability is also a core course, students who complete STAT 4300 Probability and STAT 4310 Statistical Inference as an introductory sequence must complete four additional electives for the minor.

The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2023 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.