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.

Fall (18 credit hours)

Module 1

Introduction to Business Analytics
Predictive Analytics
Data Exploration and Visualization
Data Management
Career Leadership

Interterm Intensive: Data Wrangling with R

Module 2

Advanced Statistical Inference
Python for Data Analytics
Machine Learning
Data Storytelling

Spring (12-16 credit hours)

Module 3

Unstructured Data Analytics
Ethics and Big Data Analytics
MSBA Elective*

Interterm Intensive: Integrated Analytics Deep Dive

Module 4

Spreadsheet Decision Modeling
Analytics Capstone Experience
MSBA Elective*

*MSBA Electives are subject to change (4 credit hours required):

Sports Analytics
Social Media Analytics
Data Analytics with Excel VBA
Strategic Business Technology
Lean Six Sigma
Supply Chain Analytics
Marketing Research
Marketing Analytics