The STEM-designated Master of Science in Business Analytics and Risk Management (BARM) full-time program equips students to improve decision-making processes based on a rigorous treatment of data and information. Students gain knowledge on different types of analytics methodologies and tools used to acquire and analyze data, derive insights from the data, and effectively communicate the results for better decision-making in a volatile business environment. This program is designed to teach ways to: quantify multiple dimensions of hard business problems; analyze the structure and data related to those problems; and create rigorous approaches based on that analysis to guide business decisions. Coursework provides exposure to business analytics, risk management principles, and necessary tools that enable students to make better decisions for themselves and their organizations.
An MS in Business Analytics and Risk Management provides graduates with the tools and knowledge to:
- Convert raw data into useful information
- Present that information in compelling ways
- Use information to understand complex decision settings
- Create rigorous approaches to problem-solving
- Construct persuasive arguments based on careful analysis
- Use information to diagnose problems
- Use analysis to prescribe approaches to improve performance
- Develop ways to predict future performance
- Improve decision-making at all levels
- Add value to any organization in need of more analytical expertise
- Develop a thorough understanding of risk
- Protect shareholder value by managing the downside of risk
Program Requirements
The program requires 36 credits. Full-time MS students must complete the program in 3 semesters: fall, spring, and summer. Course waivers are not granted in this program.
Curriculum
The MS in Business Analytics and Risk Management (BARM) program curriculum includes the following courses: The course sequence and availability of specific electives may vary. Students must consult with their academic advisor to ensure they take courses in the approved sequence. All courses are 2 credits.
| Code | Title | Credits |
|---|---|---|
| Business Foundations | ||
| BU.120.601 | Business Communication | 2 |
| BU.131.601 | Business Leadership and Human Values | 2 |
| BU.510.601 | Statistical Analysis | 2 |
| Functional Core | ||
| BU.520.601 | Business Analytics | 2 |
| BU.510.650 | Data Analytics | 2 |
| BU.520.650 | Data Visualization | 2 |
| BU.680.620 | Operations Management | 2 |
| STEM Courses | ||
| BU.520.620 | Advanced Business Analytics | 2 |
| BU.520.690 | Analytics Consulting Project | 2 |
| BU.520.775 | Practical Machine Learning | 2 |
| BU.510.615 | Python for Data Analysis | 2 |
| Elective Courses | ||
| Students must complete 7 elective courses. At least 4 of these courses must be from the Quantitative Electives section. | ||
| Quantitative Electives | 8 | |
| Select at least four of the following: | ||
| AI Essentials for Business | ||
| Continuous Time Finance | ||
| Customer Analytics | ||
| Data Science and Business Intelligence | ||
| Generative AI | ||
| Investments | ||
| Simulation for Business Applications | ||
| Pricing and Insuring Risk | ||
| Retail Analytics | ||
| Sustainable Supply Chains | ||
| Supply Chain Analytics | ||
| Database Management | ||
| Large Scale Computing on the Cloud | ||
| General Electives | 6 | |
| Corporate Governance | ||
| Crisis Management | ||
| Cybersecurity | ||
| Enterprise Risk Management Frameworks | ||
| Financial Crises and Contagion | ||
| Managing Complex Projects | ||
| Managing Financial Risk | ||
Carey Elective - Students may fulfill ONE general elective with a Carey course for which they meet the prerequisites and enrollment criteria. | ||
| Total Credits | 36 | |