Business Analytics, MBA
The Business Analytics MBA major is designed to build deep competency in the skills needed to implement and oversee data-driven business decisions, including
- collecting, managing and describing datasets,
- forming inferences and predictions from data and
- 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 man¬aging 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).
For more information: https://mba-inside.wharton.upenn.edu/buan-major/
Curriculum
A minimum of 19 course units is required for graduation.
Major electives taken on a pass/fail basis cannot be counted toward the Business Analytics major. Up to one (1) CU from a list of pre-approved non-Wharton courses may be counted towards the major.
| Code | Title | Course Units |
|---|---|---|
| Business Analytics Major Requirements | ||
| Core Requirements | ||
| Regression Analysis for Business | ||
or STAT 6210 | Accelerated Regression Analysis for Business | |
| Quality and Productivity | ||
or OIDD 6150 | Operations Strategy | |
| Business Analytics | ||
| Select 3-4 course units from the following: | 3-4 | |
| Financial Reporting and Business Analysis | ||
| Financial Disclosure Analytics | ||
| Applied Data Analysis | ||
| Special Topics | ||
| Investment Management | ||
| Financial Derivatives | ||
| Data Science for Finance | ||
| FinTech | ||
| Healthcare Data and Analytics | ||
| Big Data, Big Responsibilities: Toward Accountable Artificial Intelligence | ||
| People Analytics | ||
| Data and Analysis for Marketing Decisions | ||
| Marketing Analytics (Students cannot count both MKTG 7520 and MKTG 8520 towards the BUAN major; they can only count ONE of the two courses) | ||
| Pricing Policy | ||
| Models for Marketing Strategy | ||
| Applied Probability Models in Marketing | ||
| Experiments for Business Decision Making (Center Special Topic) | ||
| Special Topics - Marketing Analytics (Students cannot count both MKTG 8520 and MKTG 7520 towards the BUAN major; they can only count ONE of the two courses. ) | ||
| Thinking with Models: Business Analytics for Energy and Sustainability | ||
| Scaling Operations: Linking Strategy and Execution | ||
| Analytics for Services | ||
| Analytics for Revenue Management | ||
| Mathematical Modeling and its Application in Finance | ||
| Advanced Topics (Operations Analytics) | ||
| Enabling Technologies | ||
| Databases for Analytics | ||
| A.I., Business, and Society | ||
| Modern Data Mining | ||
| Statistical Computing with R | ||
| Data Collection and Acquisition: Strategies and Platforms | ||
| Forecasting Methods for Management | ||
| Predictive Analytics for Business | ||
| Applied Machine Learning in Business | ||
| Text Analytics | ||
| Sports and Gaming Analytics | ||
| Data Analytics and Statistical Computing | ||
| Introduction to Python for Data Science | ||
| Modern Regression for the Social, Behavioral and Biological Sciences | ||
| Select up to 1 course unit of the following: | 1 | |
| Applied Machine Learning | ||
| Machine Learning | ||
| Big Data Analytics | ||
| Database and Information Systems | ||
| Programming Languages and Techniques | ||
| Introduction to Software Development | ||
| Introduction to Computer Systems | ||
| Data Structures and Software Design | ||
| Computer Systems Programming | ||
| Applied Research Methods to Inform Policy and Practice | ||
| Survey Methods & Design | ||
| Regression and Analysis of Variance | ||
| Measurement Theory and Test Construction | ||
| Structural Equations Modeling | ||
| Statistical and Data Mining Methods for Urban Data Analysis | ||
| Geospatial Cloud Computing & Visualization | ||
| Geospatial Data Science in Python | ||
| Data Analysis for Social Impact | ||
| Electives | ||
| Select 5.5 course units of electives | 5.5 | |
| MBA Core Requirements | 9.5 | |
| Total Course Units | 19 | |
MBA Core Requirements
| Code | Title | Course Units |
|---|---|---|
| Accounting | ||
| Select one of the following: | 0.5-1 | |
| Fundamentals of Financial Accounting | ||
| Fundamentals of Financial and Managerial Accounting | ||
| Finance 1 | ||
| Corporate Finance | ||
| Select one of the following: | 0.5-1 | |
| Corporate Finance | ||
| Corporate Finance (Half CU) | ||
| Macroeconomics | ||
| Select one of the following: | 0.5-1 | |
| Macroeconomics and the Global Economic Environment | ||
| Macroeconomics and The Global Economic Environment (Half CU) | ||
| Legal Studies | ||
| LGST 6110 | Responsibility in Global Management | 0.5 |
| or LGST 6120 | Responsibility in Business | |
| or LGST 6130 | Business, Social Responsibility, and the Environment | |
| Microeconomics | ||
| BEPP 6110 | Microeconomics for Managers: Foundations | 0.5 |
| BEPP 6120 | Microeconomics for Managers: Advanced Applications | 0.5 |
| Management | ||
| MGMT 6100 | Foundations of Teamwork and Leadership | 0.5 |
| MGMT 6110 | Managing Established Enterprises | 1 |
| or MGMT 6120 | Management of Emerging Enterprises | |
| Marketing | ||
| MKTG 6110 | Marketing Management | 0.5 |
| MKTG 6120 | Dynamic Marketing Strategy | 0.5 |
| or MKTG 6130 | Strategic Marketing Simulation | |
| OIDD | ||
| Select one unit of the following: | 0.5-1 | |
| Quality and Productivity | ||
| Business Analytics | ||
| Online Business Models and the Information-Based Firm | ||
| Innovation | ||
| Operations Strategy | ||
| Enabling Technologies | ||
| Managerial Decision Making | ||
| Statistics | ||
| STAT 6130 | Regression Analysis for Business 2 | 1 |
| or STAT 6210 | Accelerated Regression Analysis for Business | |
| Management Communication | ||
| Select one of the following options: | 0.5 | |
| Option 1 | ||
| Management Communication | ||
| Advanced Persuasive Speaking | ||
or WHCP 6150 | Communication Challenges for Entrepreneurs | |
or WHCP 6240 | Persuasive Writing for Business Leaders | |
| Option 2 | ||
| Management Communication | ||
or WHCP 6180 | Entrepreneurial Communication | |
| Total Course Units | 9.5 | |
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2024 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.