Business Analytics M.S.
The Master of Science in Business Analytics is a 32-credit graduate program that prepares students to make data-driven decisions in today’s analytics-driven business landscape. The program is offered online and accommodates working professionals and full-time students.
The curriculum integrates technical expertise with essential business skills, equipping students to manage, analyze, and communicate complex data in practical business contexts. Courses provide hands-on experience with data tools and techniques while fostering critical thinking, strategic insight, and effective communication.
Core areas of study include:
- Business intelligence and big data analytics
- Business statistics and statistical computing
- Data mining and data management
- Communicating insights and supporting decision-making
Graduates of the program are well-prepared for high-impact roles in data analytics, business intelligence, and strategic decision support across industries.
General Graduate Program Requirements
Graduate School policies and standards can be found on the Graduate School Policies page.
The minimum GPA for any graduate program is 3.0. Individual programs may require more than a 3.0 to remain in good standing.
The minimum grade for a course to be accepted toward any master’s or doctoral requirement is C. The minimum grade for a course to be accepted toward a certificate program is B-. Individual programs may require higher grades for specific courses.
Online Program Option
This program may be completed in an online format. Students interested in pursuing an online degree or certificate program are strongly encouraged to contact the offering department to discuss specific program and course modalities and create a plan of study with an academic advisor. The course requirements listed below may not be consistently offered via online delivery.
Master of Science - Business Analytics
Course Requirements
| Code | Title | Hours |
|---|---|---|
| Required Courses | ||
| Complete all of the following courses: | ||
| BGEN 516 | Applied Business Statistics | 3 |
| BGEN 526 | Graduate Introduction to Business Analytics | 3 |
| BGEN 631 | Introduction to SQL | 1 |
| BGEN 632 | Graduate Introduction to Python | 2 |
| BMIS 601 | Business Intelligence | 3 |
| BMIS 625 | Mining of Text & Unstructured Data | 2 |
| BMKT 582 | Telling Stories with Data | 3 |
| BMKT 670 | Applied Data Analytics | 3 |
| BMKT 673 | Advanced Applied Modeling | 3 |
| BMKT 680 | Big Data and Innovation | 2 |
| BMKT 689 | MSBA Capstone Prep | 1 |
| BMKT 699 | Capstone | 3 |
| Elective | ||
| Complete 3 additional credits chosen in consultation with your advisor. | 3 | |
| Total Hours | 32 | |