Risk modelling and survival analysis (CS2) builds on CS1. It develops knowledge of and the ability to apply statistical methods for risk modelling, time series analysis methods, stochastic processes (especially markov chains and markov jump processes), survival analysis (including regression methods applied to duration data), and graduation methods it also includes a high-level introduction to machine learning. The subject includes both theory and application of the ideas to real data sets using R.
Material in this subject is applied to actuarial modelling in subjects CM1 and CM2.

CS2 comprises of CT4 and CT6 (as per the old curriculum)

Exam format:

3 hours and 20 minutes Computer-based exam (Word)

1. Meant for students aspiring to do exceedingly well in paper CS2 Paper A
2. Subjects covered Advanced Statistics,Markov Models,Survival Models,Reinsurance,Machine Learning and programming R.
3. Curriculum designed by All India Toppers and professionals having experience of working in Life Insurance Sector covering all topics under IFOA/IAI Syllabus
4. Focus on understanding the basics by connecting theory with real-life applications followed by problem solving of different patterns using innovative tools and techniques.