Statistics and Data Science, MBA
The Statistics and Data Science major develops the skills and insights required to draw inferences and conclusions from many types of data. A key challenge facing managers is the interpretation of the vast amount of data generated in the world of business today. Modern computing systems now produce large volumes of information whereas previously one could often only rely upon intuition and guesses. Yet this information does not directly answer important business questions. What combination of features is most desirable for consumers? What will sales be next month? How did we do last month? Data analysis and statistics offer a systematic approach that can help provide answers to these questions.
Courses offered by the Statistics and Data Science Department develop the skills and insights required to make effective use of statistical methods. The courses provide the knowledge needed to select and apply techniques and to communicate statistical results. Interpretation in realistic applications offers guiding examples, and theory is used to motivate and compare alternative schemes.
Regardless of topic, all of these courses provide useful skills that augment the substantive managerial abilities of students. Courses also provide exposure to computer software that implements key techniques.
For more information: https://statistics.wharton.upenn.edu/programs/mba/course-requirements/
Curriculum
Curriculum
A minimum of 19 course units is required for graduation.
Major electives taken on a pass/fail basis cannot be counted toward the Statistics and Data Science major.
| Code | Title | Course Units |
|---|---|---|
| Statistics and Data Science Major Requirements | ||
| Select 4 course units from the following: | 4 | |
| Modern Data Mining | ||
| Statistical Computing with R | ||
| Data Collection and Acquisition: Strategies and Platforms | ||
| Forecasting Methods for Management | ||
| Predictive Analytics for Business | ||
| Text Analytics | ||
| Sports and Gaming Analytics | ||
| Data Analytics and Statistical Computing | ||
| Applied Probability Models in Marketing | ||
| Introduction to Python for Data Science | ||
| Independent Study | ||
| Sample Survey Methods | ||
| Modern Regression for the Social, Behavioral and Biological Sciences | ||
| 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.