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.
This subject equips the students with knowledge of different statistical methods for risk modeling and machine learning using R.
This will be examined in a set of 2 papers. CS2A is 3 hours and 15 mins paper and CS2B is 1 hour 45 minutes exam and tests R programming along with statistics and modeling. Both elements need to be taken at the same examination sitting. Failure to reach the overall pass mark will require both elements of assessment to be retaken.
In the CS subjects, the approximate split of assessment across the three skill
types is 20% Knowledge, 65% Application and 15% Higher Order skills.