Dual MS-MBA in Financial Analytics
The dual MS-MBA degree is designed for students that seek to have a deep technical knowledge in Financial Analytics (FA) as well as strong management skills and qualifications. A technical Master of Science degree coupled with an MBA provides a great mixture of education and creates a well-rounded employee. This joint degree will give FA students strong business management skills to complement their FA degree, accelerating their growth into management positions and opening a more diverse selection of career choices. The students will earn two separate master’s degrees in this dual degree program.
This dual program offers an exceptional combination of management skills with deep and practical knowledge of the technical aspects of financial analytics. The MBA program is particularly suited for Financial Analytics professionals, as it incorporates a unique blend of courses on management skills, technology and financial analytics skills, and human skills.
Students in this program benefit from close interaction with an internationally recognized faculty body with diverse educational and professional backgrounds in both programs within the School of Business, from the hybrid format of many classes, summer classes, and networking opportunities with alumni from both programs.
Dual MS-MBA in Financial Analytics Requirements
Core Courses
Students are required to take the following core courses:
| FE 535 | Introduction to Financial Risk Management | 3 |
| MGT 612 | Leader Development | 3 |
| FA 590 | Statistical Learning | 3 |
| FA 541 | Applied Statistics with Applications in Finance | 3 |
| MGT 699 | Strategic Management | 3 |
| MGT 641 | Marketing Management | 3 |
| FA 542 | Time Series with Applications to Finance | 3 |
| MGT 635 | Managerial Judgment and Decision-Making | 3 |
| MGT 663 | Discovering and Exploiting Entrepreneurial Opportunities | 3 |
| MGT 808 | Fundamentals of Consulting | 3 |
| MGT 809 | Industry Capstone Experience | 3 |
| FE 511 | Introduction to Bloomberg & Thomson-Reuters | 1 |
| FE 515 | Introduction to R | 1 |
| FE 520 | Introduction to Python for Financial Applications | 1 |
| FA 582 | Foundations of Financial Data Science | 2 |
| FE 513 | Financial Lab: Practical Aspects of Database Design | 1 |
| FE 595 | Financial Technology | 3 |
| FE 550 | Data Visualization Application | 3 |
| FIN 500 | Financial and Managerial Accounting | 3 |
| MGT 506 | Economics for Managers | 3 |
Electives
Students are required to take 4 courses (12 credits) of Financial Analytics electives.