The Master of Professional Studies in Insurance Analytics and Management addresses the mounting need for talent in the insurance industry with focus on disruptive trends and the inherent challenges that this industry sector faces. This program will build on five distinct pillars that are designed to serve the market and to offer graduates a clear pathway into the industry. Those pillars are application orientation, domain knowledge, digital leadership and human-centered design, decision support, and digital transformation. The goal of the MPS program is to produce graduates who are thinkers and designers and developers who merge applications, humanics, data, and technology in the age of digital transformation to benefit their industry.


  • Concentrations and course offerings may vary by campus and/or by program modality.  Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality. 
  • Certain options within the program may be required at certain campuses or for certain program modalities.  Please consult with your advisor or admissions coach for requirements at your campus or for your program modality. 

Complete all courses and requirements listed below unless otherwise indicated.

Core Courses

INS 6010Insurance Finance3
INS 6020Claims Management3
INS 6030Insurance Underwriting3
INS 6040Introduction to Insurance Data Analytics3
INS 6050Intermediate Insurance Analytics3

Experiential Project

INS 6080Integrated Experiential Learning3

Capstone

INS 6980Capstone3

Concentrations

The remaining required quarter hours for the program may be completed by a combination of completing a concentration and additional electives or selecting any courses listed in the electives list.

Electives

Predictive Analytics
Data Warehousing and SQL
Data Mining Applications
Data Management and Big Data
Quantitative Methods
Derivatives and Alternative Investments
Fundamentals of Artificial Intelligence
AI System Technologies
Advanced Analytical Utilization
AI Communication and Visualization
Foundations of Geographic Information Science
Internet-Based GIS
Special Topics
Leading Teams Strategically in a Global Environment
Foundations of Project Management
Communication Skills for Project Managers

Program Credit/GPA Requirements

45 total quarter hours required
Minimum 3.000 GPA required


Advanced Insurance Management Concentration 

ALY 6983Topics3
INS 6110Insurance Regulation and Law3
INS 6120Macro Challenges in Insurance3
INS 6130Advanced Reinsurance3
LDR 6135Ethical Leadership3

Customer Engagement Concentration

ALY 6060Decision Support and Business Intelligence3
ALY 6070Communication and Visualization for Data Analytics3
INS 6140Distribution and Sales3
PJM 6185Managing Innovation Projects3
SMT 6020Managing the Customer Experience3

Decision Support Concentration 

EAI 6000 is for students who score 85% or more on the Python placement exam upon declaring this concentration. Students who score less than 85% on the placement exam complete a noncredit Python workshop before completing EAI 6000.
ALY 6060Decision Support and Business Intelligence3
ALY 6070Communication and Visualization for Data Analytics3
EAI 6000Fundamentals of Artificial Intelligence3
EAI 6020AI System Technologies3
LDR 6100Developing Your Leadership Capability3