Sample Schedule
The Master of Science in Business Analytics is a lock-step program designed to help you gain deep, specialized knowledge in nine-months. You will take each class in a set schedule together with your fellow students as a cohort. This leads to a tight-knit class, learning from one another as you gain new knowledge and work in teams on applied problems.
The MS-BA curriculum consists of eight quarter-based courses and two semester-long courses:
Fall Semester
| Session 1 (7.5 weeks) |
Introduction to Enterprise Analytics (3.0 credits)
Introduction to Applied Analytics (3.0 credits) |
| Session 2 (7.5 weeks) |
Data Mining I (3.0 credits)
Applied Regression Models (3.0 credits) |
| Semester 1 (16 weeks) |
| Analytical Decision Making Tools I (3.0 credits) |
Spring Semester
| Session 3 (7.5 weeks) |
Data Mining II (3.0 credits)
Data-Driven Quality Management (3.0 credits) |
| Session 4 (7.5 weeks) |
Business Analytics Strategy (3.0 credits)
Analytical Decision Making Tools II (3.0 credits) |
| Semester 2 (16 weeks) |
| Applied Project (3.0 credits) |
Note: Format and scheduling is based on the 2012-13 academic year and is subject to change.