CS2A – Risk Modelling & Survival Analysis

Course Overview

CS2A delves into the mathematical and statistical frameworks actuaries use to understand and model risk over time. This course focuses on building a solid foundation in stochastic processes, time series analysis, survival models, and risk distributions—integral to insurance pricing, experience analysis, and health modeling.

Core Learning Areas

• Analytical treatment of loss distributions and risk-sharing structures

• Modelling of claim sizes using compound distributions

• Application of stochastic processes in insurance (Markov chains, Poisson processes)

• Development and evaluation of discrete and continuous time survival models

• Techniques for transition intensity estimation and graduation of crude data

• Mortality projection models and demographic forecasting

Outcome

By the end of CS2A, students will have acquired the ability to construct, analyze, and evaluate actuarial models for risk and survival processes with both mathematical rigor and actuarial relevance. This module lays the foundation for further specialization in health and life insurance domains and prepares students for the theoretical demands of SP-level subjects.