The Master of Management, Risk and Analytics (MRA) curriculum combines risk management and data analytics to prepare students for decision-making in complex business environments. Students gain hands-on experience with real-world projects and advanced analytics tools.
Innovative Coursework for Risk and Analytics Leaders
Our curriculum builds essential skills in risk management, data analytics and decision-making for today’s data-driven business environment. You’ll learn to manage risk, apply analytics tools and translate data into business insights through hands-on coursework.
Students gain experience with enterprise risk management, predictive analytics and data modeling, preparing them to solve real-world business challenges across industries.
No experience? No problem.
We understand candidates join the program with varying degrees of experience, so our curriculum covers the basics first.
Course Requirements
Students must complete 30 credit hours to satisfy the degree requirements – including 24 required credit hours and 6 hours of elective courses. Our innovative curriculum focuses on business analytics, risk management skills and practical experience – all in a hands-on learning environment.
IMPORTANT: The courses below provide an overview of the program’s breadth, but specific program requirements can change. As this publicly-available list is updated a limited number of times annually, current students should contact their academic advisor for the most up-to-date course information.
Degree Requirements
Course List
Code
Title
Hours
Core Courses
24
Risk Management Courses
ACC 570
Enterprise Risk Management
ACC 580
Data Analytics in Accounting
ACC 581
Strategic Risk Analysis Using Excel
ACC 582
Forecasting and Scenario Planning Using Monte Carlo Simulation
ACC 583
Communicating Risk Information Using Tableau
Data Analytics Courses
ACC 584
Root Cause Analysis: Interpreting Data for Decision-Making
ITAO 550
Data-Driven Managerial Decisions 1
ITAO 551
Data-Driven Managerial Decisions 2
ITAO 545
Decision Making under Uncertainty
ITAO 552
Predictive Analytics for Business and Big Data
ITAO 553
Data Engineering, Management and Warehousing
Capstone Course
ACC 571
Executive Presence and Effective Communication
or MBA 559
Business Analytics Practicum
Elective Courses
6
"Elective Courses" are determined in conjunction with the academic committee to meet the 30 total credit hours
Total Hours
30
Elective Courses
Course List
Code
Title
Hours
Select six credit hours of the following:
Business and Finance
MBA 582
MBA 501
Financial Accounting for Decision Makers
MBA 502
Managerial Accounting for Decision Makers
MBA 520
Principles of Finance
MBA 587
Leadership and Communications
BUS 558
Communications, Privacy, and Ethics in Data Science
MBA 510
MBA 512
Managerial Ethics
MBA 533
Negotiation and Conflict Management
MBA 538
Technology and Analytics
MBA 511
Data Security and Privacy
MBA 558
Artificial Intelligence in Management
MBA 552
Data Engineering, Management and Warehousing 1
or MBA 553
Digital Transformation
MBA 590
(Monte Carlo Decision Analysis)
1
Students may use MBA 552 or MBA 553 that is not counting towards the core requirement to satisfy elective credit.
To provide support with the technical skills the program requires, all students complete a self-paced, virtual boot camp before the start of the program. The boot camp was designed internally by our faculty, so it aligns directly with the main curriculum and ensures our students are set up for success on Day 1.
“Since we gained hands-on experiences with tools like ChatGPT and RStudio, I’m actually starting to use these more in my day-to-day responsibilities at work.”
Tiffany Fragoso ’25
Senior Analyst, Customer Service (Metrology Laboratory Lead), Collins Aerospace
Tailor Your Master of Management, Risk and Analytics (MRA) Experience
Discover the structure and flexibility of the MRA risk analytics curriculum, including sample course pathways and online delivery options. Tailor your coursework to fit your schedule, career goals and areas of specialization.
