Statistics for Non-Wharton Students, 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.

Students interested in this minor must have the prior approval of the Statistics Undergraduate Program Director, Professor Abraham Wyner (ajw@wharton.upenn.edu), to develop a curriculum for the minor that is appropriate for their interests. Wharton students are not eligible for this minor.

Statistics for Non-Wharton Students, 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 114Calculus, Part II1
Select one of the following:2
Introductory Business Statistics
and Introductory Business Statistics
Introductory Statistics
and Introductory Statistics
Probability
and Statistical Inference
Engineering Probability
and Engineering Applications of Statistics
Core Course
STAT 430Probability1
or STAT 471 Modern Data Mining
Electives
Select 2 course units of STAT courses2
Select 1 course unit of STAT or other approved course1
Additional Elective 2
Total Course Units7
1

The statistics pre-req may also be satisfied with 2 course units of Economic Statistics.

2

If the statistics pre-req was satisfied by Economic Statistics or STAT 430 Probability satisfied both pre-req and core.


The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2017 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.