Risk Analytics

Course Description

This course will focus on the modern use of data and analytical tools in the insurance industry. We will begin by developing a set of tools for presenting, handling, and analyzing data and developing predictive models. In particular, we will focus on "big" data. We will briefly review traditional analysis techniques before moving onto more modern approaches such as classification trees, cluster analysis, and neural networks. We will then apply these techniques to problems unique to the risk and insurance industry such as underwriting, risk modeling, ratemaking, loss reserving, and risk control. The course is separated into Three Modules. The first module is a general introduction to modern data analytics. The second module takes the first module and applies the techniques learned to applications in risk management such as risk modeling, analyzing loss exposures, and risk control. The third module takes the first module and applies the techniques learned to applications in the insurance industry such as underwriting, loss reserving, and ratemaking.

Code

RMI 3506

Credits

3

Subject

RMI

Programs That Include This Course

• Bachelor's Bachelor of Business Administration in Risk Management and Insurance with Healthcare Risk Management Concentration
• Bachelor's Bachelor of Business Administration in Risk Management and Insurance with Managing Corporate Risk Concentration
• Bachelor's Bachelor of Business Administration in Risk Management and Insurance with Managing Human Capital Risk Concentration
• Minor Minor in Corporate Risk Management