MSBA Curriculum
In this program, you will learn to apply analytics techniques for “big data” including data mining, data storage and manipulation, data visualization, statistics, modeling, optimization, and simulation in a variety of business areas such as finance, operations, and marketing.
The program comprises an intense 31 credit hours over two semesters that provide a master’s-level understanding of business analytics and position you to use data to inform complex business decisions. You also may view our full course descriptions.
| COURSE NAME | CREDIT HOURS |
|---|---|
| Fall (18 credit hours)* | |
| Module 1 | |
| Introduction to Statistical Analysis | 2 |
| Simulation and Optimization | 2 |
| Data Visualization | 2 |
| Data Management in SQL | 2 |
| Bridge to Success | 1 |
| Interterm Intensive: Data Wrangling with Databases and R | 1 |
| Module 2 | |
| Advanced Statistical Inference | 2 |
| Python for Data Analytics | 2 |
| Machine Learning | 2 |
| Data Storytelling | 2 |
| Spring (12-16 credit hours)* | |
| Module 3 | |
| Analytics Capstone Experience (semester long course-Mod 3) | - |
| Unstructured Data Analytics | 2 |
| Time Series Analytics | 2 |
| MSBA Elective* | 2 |
| Interterm Intensive: Integrated Analytics Deep Dive | 1 |
| Module 4 | |
| Analytics Capstone Consultation (semester long course-Mod 4) | 2 |
| Networks: Theory and Analysis | 2 |
| Ethics and Big Data Analytics | 2 |
| MSBA Elective* | 2 |
*MSBA Electives are subject to change (2 credit hours required, 4 possible):
Sports Analytics
Data Acquisition
Marketing and Customer Analytics