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