Analytics and Applications of Artificial Intelligence for Business, MS

Core Required Curriculum (18 credits)

• BMIS 2526 - ADVANCED DATA PROGRAMMING WITH R
• BMIS 2542 - DATA PROGRAMMING ESSENTIALS WITH PYTHON
• BMIS 2630 - TECHNICAL FOUNDATIONS OF GENERATIVE ARTIFICAL INTELLIGENCE FOR BUSINESS
• BMIS 2635 - DEPLOYING ARTIFICIAL INTELLIGENCE (AI) IN BUSINESS: STRATEGY, DESIGN, AND EXECUTION
• BQOM 2401 - STATISTICAL ANALYSIS: UNCERT
• BQOM 2421 - DECISION TECH IN MFG & OPS MGT
• BQOM 2578 - DATA MINING

Elective Courses (12 Credits):

Elective curriculum includes a mix of business analytics and AI specific electives and/or preapproved Business Analytics/AI related non-business graduate courses.

Elective courses within the MS Analytics and Applications of AI for Business degree are required to dedicate a substantial proportion of their content to Business Analytics and/or AI related topics, thereby advancing students’ business analytics and AI knowledge while supporting the program’s broader academic objectives.

At least 1.5 credits must come from experiential learning courses. The experiential learning component must emphasize the application of business analytics and/or AI methods to real world problems and require students to demonstrate competencies in data-driven decision making (e.g., through project courses or internships).

At least 1.5 credits must come from courses focused on responsible AI/ethical considerations.

Total Credits: 30