MBA Major in Business Analytics

The Business Analytics MBA major is designed to build deep competency in the skills needed to implement and oversee data-driven business decisions, including (i) collecting, managing and describing datasets, (ii) forming inferences and predictions from data, and (iii) making optimal and robust decisions. Business analytics makes extensive use of statistical analysis, and the applications of business analytics span all functional areas.

Business analytics has emerged in recent years as a powerful and required capability for firms in competitive markets. The quantity, quality and diversity of available data have never been greater, which has created new and significant opportunities for organizations to use data to improve their decisions with respect to both internal resources as well as external interactions with suppliers and customers.

Students choosing the Business Analytics MBA major are ideally suited for the growing set of careers broadly defined under the header of “data science” with responsibilities for managing and analyzing data. In addition, the major provides an excellent complement to students who choose to focus on one of the functional areas of business (e.g., accounting, finance, marketing, operations).

Requirements for the Major:

STAT Requirements: Students must also complete the required fixed core requirement in Statistics (STAT 613, or STAT 621 by placement). Waiving the STAT fixed core requirement entirely fulfills the Statistics fixed core requirement for this major.

OIDD Requirements: Students must complete OIDD 612, and either OIDD 611 or OIDD 615.

Major Electives: In addition to the STAT and OIDD requirements above, students must complete 4 credit units from the set of approved courses listed below. Courses taken on a pass/fail basis cannot be counted toward the Business Analytics major. A maximum of 1 CU of an Independent Study Project (ISP) can count toward the Business Analytics major with advisor approval.
*OIDD 899 – 1 CU may count towards the major, subject to advisor pre-approval

MBA Major Advisors:

Richard Waterman, Statistics Department

Sergei Savin, Operations, Information & Decisions Department

Approved Wharton coursework to count towards Business Analytics major:

Approved Wharton coursework to count towards Business Analytics major:
ACCT 742 – Financial Reporting and Business Analysis
ACCT 747 – Financial Statements & Disclosure Analysis

BEPP 780 – Applied Data Analysis

FNCE 705 – Investment Management
FNCE 717 – Financial Derivatives
FNCE 737 – Data Science for Finance
FNCE 780 – Fin-Tech

HCMG 857 – Healthcare Data & Analytics

LGST 642 – Big Data, Big Responsibilities: The Law and Ethics of Business Analytics

MGMT 793 – People Analytics

MKTG 712 – Data and Analysis for Marketing Decisions
MKTG 754 – Pricing Policy
MKTG 771 – Models for Marketing Strategy
MKTG 776 – Applied Probability Models in Marketing
MKTG 809 – Experiments for Business Decision Making
MKTG 852 – Marketing Analytics

OIDD 636 – Scaling Operations
OIDD 642 – Analytics for Services
OIDD 643 – Analytics for Revenue Management
OIDD 653 – Mathematical Modeling & its Applications in Finance
OIDD 658 – Service Operations Management
OIDD 662 – Enabling Technologies
OIDD 663 – Databases for Analytics
OIDD 667 – A.I., Business & Society
OIDD 898 – Understanding Behavior with Big Data

STAT 701 – Modern Data Mining
STAT 705 – Statistical Computing with R
STAT 710: Data Collection and Acquisition: Strategies and Platforms
STAT 711 – Forecasting Methods for Management
STAT 722 – Predictive Analytics for Business
STAT 723 – Applied Machine Learning in Business
STAT 724 – Text Analytics
STAT 770 – Data Analytics and Statistical Computing
STAT 777 – Intro to Python for Data Science
STAT 974 – Modern Regression

Students may select at most 1 credit unit of courses from outside of Wharton.*

Approved Non-Wharton courses are as follows:

Penn Design

MUSA 500 – Spatial Statistics and Data Analysis
MUSA 509 – Geospatial Cloud Computing & Visualization
MUSA 550 – Geospatial Data Science in Python

Penn Engineering

CIS 519 – Intro to Machine Learning
CIS 520 – Machine Learning
CIS 545 – Big Data Analytics
CIS 550 – Database and Information Systems
CIT 590 – Prog Lang and Techniques
CIT 591 – Introduction to Software Development
CIT 593 – Intro to Computer Systems
CIT 594 – Data Structures and Software Design
CIT 595 – Algorithms and Computation

Penn Graduate School of Education

EDUC 591 – Applied Research Methods to Inform Policy and Practice
EDUC 683 – Survey Methods & Design
EDUC 767 – Regression and Analysis of Variance
EDUC 768 – Measurement Theory and Test Construction
EDUC 777 – Structural Equations Modeling

Penn Social Policy & Practice

NPLD 720 – Data Analysis for Social Impact**

*A student must petition the MBA Faculty Advisors for approval of a non-Wharton course that is not on the list above.

**This course cannot be taken in the online format. Must be taken on-campus.