The strength of our Actuarial Statistics subjects is the emphasis on understanding statistical concepts and methods, and their practical application to actuarial problems. In both CS1 and CS2, emphasis is placed on being able to apply statistical methods to actuarial problems using real data sets and the open-source software environment R. In designing these new subjects will enhance Actuarial Science for our student members through the development of transferable skills and enhanced employability.
Find out more on how to install R and how it is used in the CS1B and CS2B examinations:
Please note: the CS1 and CS2 exams are now a combination of both a written (A) and an online (B) assessment. Both elements, A and B, will need to be taken in the same exam sitting.
- CS1A and CS2A: are theoretical exams delivered online and can be taken at your workplace or at home, at UK times only
- CS1B and CS2B: are problem based assessments and will be sat in UK time only at home or at your workplace
Actuarial Statistics (CS1)
The aim of Actuarial Statistics (CS1) is to provide a grounding in mathematical and statistical methods that are of relevance for actuarial work. It equips the student with knowledge of statistical distributions, methods to summarise data, the principles of statistical inference, regression models (including generalised linear models) and the fundamental concepts of Bayesian statistics. The subject includes both theory and application of the ideas using R.
Subject CS2 builds directly on the material in this subject. Material in this subject is applied to actuarial modelling in subjects CM1 and CM2.
3 hours and 15 minutes
Paper based
1 hour and 45 minutes
'R'
You must sit A + B papers in the same session.
Risk Modelling and Survival Analysis (CS2)
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.
and Survival Analysis
3 hours and 15 minutes
Paper based
and Survival Analysis
1 hours and 45 minutes
R
You must sit A + B papers in the same session.