Mendoza School of Business

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 NAMECREDIT HOURS
Fall (18 credit hours)*
Module 1
Introduction to Business Analytics2
Predictive Analytics2
Data Exploration and Visualization2
Data Management2
Bridge to Success1
Interterm Intensive: Data Wrangling with R1
Module 2
Advanced Statistical Inference2
Python for Data Analytics2
Machine Learning2
Data Storytelling2
Spring (12-16 credit hours)*
Module 3
Analytics Capstone Experience2
Unstructured Data Analytics (semester long course-Mod 3)-
Ethics and Big Data Analytics2
MSBA Elective*2
Interterm Intensive: Integrated Analytics Deep Dive1
Module 4
Spreadsheet Decision Modeling2
Analytics Capstone Consultation (semester long course-Mod 4)2
MSBA Elective*2

*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
Marketing Analytics