Erivan K. Haub School of Business

MS Business Intelligence & Analytics

Welcome to the Master of Science in Business Intelligence & Analytics Program

M.S. in Business Intelligence & Analytics Curriculum
This innovative program allows you to earn your advanced business credentials from an AACSB-accredited university in as little as two years, all while working full time and staying competitive in your field. The M.S. in Business Intelligence & Analytics Program consists of 10 courses in sequence, which are offered at certain times each semester to ensure students complete their program in as few as 18 months for full-time students and 24 months for part-time students. This program is a STEM designated program.

Below is a course sequence guide for the full- or part-time on-campus evening programs. You may also want to view the complete course descriptions.

MS BI&A On-Campus
Sample Part-Time Course Sequence
MS BI&A On-Campus
Sample Full-Time Course Sequence
Year 1 – Fall
  • DSS 600: Foundations for BI
  • DSS 610: Business Analytics for BI
Year 1 – Fall
  • DSS 600: Foundations for BI
  • DSS 610: Business Analytics for BI
  • DSS 730: Web Analytics
Year 1 – Spring
  • DSS 620: Concept & Practices in DSS Modeling
  • DSS 630: Database Management Theory & Practice
Year 1 – Spring
  • DSS 620: Concepts & Practices in DSS Modeling
  • DSS 630: Database Management Theory & Practice
  • DSS 710: Six Sigma I
Year 1 – Summer
  • DSS 640: Enterprise Data
Year 1 – Summer
  • DSS 640: Enterprise Data
Year 2 – Fall
  • DSS 650: Business Process Modeling & Analysis
  • DSS 660: Introduction to Data Mining
Year 2 – Fall
  • DSS 650: Business Process Modeling & Analysis
  • DSS 660: Introduction to Data Mining
  • DSS 680: Predictive Analytics  
Year 2 – Spring
  • DSS 670: Critical Performance Management
  • DSS 680: Predictive Analytics
 
Year 2 – Summer
  • DSS 690: Management Issues in BI
 
     
MSBIA Useful Links
Faculty Course Descriptions
Admissions Requirements Getting Started
Tuition
 

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