INS 6350 — Predictive Analytics in Insurance

3 semester hoursGraduateLecture

Introduces the analytics realm of digital transformation in the insurance industry. Delves into the pivotal role of predictive modeling for fraud detection, insurance pricing, risk assessment, and claims management. Examines how to leverage cutting-edge AI-powered technologies to unlock the potential of and use of predictive analytic tools to gather data from diverse sources, including customer portals, self-service apps, CRM systems, telematics, and smart home sensors. Provides experiential hands-on deployment of model training, validation, and testing. Familiarizes students with industry-standard data processing, analysis, and modeling tools. Offers students an opportunity to develop expertise in predictive analytics, harnessing the power of historical data, advanced machine learning algorithms, and statistical modeling to anticipate future events.

Prerequisites

Links

Official catalog (INS course descriptions) · All INS courses · Plan it at numap.app