MS in Business Analytics/MS in Finance

Admission Requirements

Applicants must meet the admission criteria of both programs and are admitted separately to each through separate applications.

Degree Requirements

In addition to the Graduate College minimum requirements, students must meet the following program requirements:

  • Minimum Semester Hours Required 56.
  • Course Work Depending on their background, students may be required to take additional technical, business, and other background courses as part of the degrees' requirements.a
Required Courses—MS in Business Analytics (16 hours)
Adv Database Management
Analytics Strategy & Practice
Data Mining for Business
Business Analytic Statistics
Required Courses—MS in Finance (12 hours)
Investments
Corporate Finance
Quant Methods in Finance
Electives—MS in Business Analytics (8 hours)
Select 8 hours from the following analytics electives. Students must select another 8 hours of analytics-related business electives to be chosen with the approval of the director of graduate studies.
Optimizatn Models & Methods
Analytics for Big Data
Social Analytics
Adv Text Analytics Business
Business Data Visualization
Adv Predictive Models Business
Special Topics in IDS
Electives—MS in Finance (12 hours)
Select 12 hours from the following finance electives. Other finance electives may be taken with the advice and approval of the director of graduate studies.
Portfolio Analysis
Options and Futures Markets
Money and Banking
Capital Markets
International Finance
Financial Decision Making I
Empirical Issues in Finance
Special Topics in Finance
Independent Study in Finance
Shared Electives
Preapproved suggestions for the 8 hours of shared courses across two degrees are listed below. Students must work with the directors of graduate studies of both programs to identify other appropriate courses.
Investments
Portfolio Analysis
Options and Futures Markets
Adv Database Management
Analytics Strategy & Practice
Analytics for Big Data
Social Analytics
Adv Text Analytics Business
Data Mining for Business
Risk Management
Business Analytic Statistics
Adv Predictive Models Business