Learners have an opportunity to gain appropriate technical skills, insurance design expertise, and experience needed to assume professional roles in the insurance field. Upon completion, learners should be prepared to:
Investigate and identify opportunities to address insurance questions and/or challenges in the evolving digital agenda of the insurance industry.
Articulate and defend the significance and implications of the intersections of application orientation, domain knowledge, digital leadership and human-centered design, decision support, and digital transformation across the insurance enterprise.
Integrate the principles, tools, and methods of digital transformation and human-centered design to solve organizational problems by making informed decisions related to the design and deployment of systems in human environments and workflows within the organization.
Develop a formally proposed solution and/or application, real or hypothetical, to address an insurance-related question and/or challenge.
Apply data management and strategic analysis, problem-solving, decision-making, effective visualization/communication, and digital leadership skills to the application or deployment of technologies and products in a real-world scenario.
Complete all courses and requirements listed below unless otherwise indicated.
|Introduction to Insurance Data Analytics
|Intermediate Insurance Analytics
|Complete two of the following:
|Communication and Visualization for Data Analytics
|Fundamentals of Artificial Intelligence
|AI System Technologies
|Macro Challenges in Insurance
|Distribution and Sales
Program Credit/GPA Requirements
18 total quarter hours required
Minimum 3.000 GPA required