Actuarial Mathematics Course
This course provides practical training in actuarial mathematics, focusing on building insurance claim models using mortality tables, hospitalization models, and portfolio aggregation techniques. Participants will learn to calculate key metrics like qx, λ, expected loss, variance, and capital margins, while conducting sensitivity and scenario testing, sourcing credible data, and communicating findings in reports.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short, practical Actuarial Mathematics Course guides you through mortality tables, hospitalization models, and portfolio aggregation to build realistic insurance claim models. You will work with qx, λ, expected loss, variance, and capital margins, perform sensitivity and scenario testing, research credible data sources, and clearly communicate pricing, risk, and assumption choices in concise written reports.
Elevify advantages
Develop skills
- Build mortality and hospitalization models for fast, robust pricing decisions.
- Quantify expected loss, variance, and capital needs for life and health portfolios.
- Apply Poisson and compound models to estimate hospitalization counts and costs.
- Perform sensitivity and scenario tests to stress qx, λ, and claim severity.
- Research, document, and clearly report actuarial assumptions from credible data.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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