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)
Advanced Database Management
Analytics Strategy and Practice
Data Mining for Business
Statistical Models and Methods for Business Analytics
Required Courses—MS in Finance (12 hours)
Investments
Corporate Finance
Quantitative 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.
Optimization Models and Methods
Analytics for Big Data
Social Media and Network Analysis
Advanced Text Analytics for Business
Business Data Visualization
Advanced Predictive Models and Applications for Business Analytics
Special Topics in Information and Decision Sciences
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
Theory and Structure of 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
Theory and Structure of Options and Futures Markets
Advanced Database Management
Analytics Strategy and Practice
Analytics for Big Data
Social Media and Network Analysis
Advanced Text Analytics for Business
Data Mining for Business
Risk Management
Statistical Models and Methods for Business Analytics
Advanced Predictive Models and Applications for Business Analytics
a
  • Prerequisites for the MS in Business Analytics include two business prerequisites in any two function areas of business (ACTG 500, FIN 500, IDS 532, or MKTG 500); technical prerequisites of business statistics (IDS 570); and database/programming (at the level of IDS 410 or equivalent). Business prerequisites may be waived based on equivalent prior course work or appropriate work experience in the functional area.
  • Prerequisites for the MS in Finance are ACTG 500, FIN 500, IDS 570, and ECON 520.