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 535Introduction to Financial Risk Management

3

FIN 600Financial and Managerial Accounting

3

MGT 606Economics for Managers

3

MGT 612Leader Development

3

FA 590Statistical Learning

3

FA 541Applied Statistics with Applications in Finance

3

MGT 699Strategic Management

3

MGT 641Marketing Management

3

FA 542Time Series with Applications to Finance

3

MGT 635Managerial Judgment and Decision-Making

3

MGT 663Discovering and Exploiting Entrepreneurial Opportunities

3

MGT 808Fundamentals of Consulting

0

MGT 809Industry Capstone Experience

3

FE 511Introduction to Bloomberg & Thomson-Reuters

1

FE 515Introduction to R

1

FE 520Introduction to Python for Financial Applications

1

FA 582Foundations of Financial Data Science

2

FE 513Financial Lab: Practical Aspects of Database Design

1

FE 595Financial Technology

3

FE 550Data Visualization Application

3

Electives

Students are required to take 4 courses (12 credits) of Financial Analytics electives.