R : What You Need to Know to Get Started -- Functions in R -- R : what you need to know to get started -- Functions in R -- Financial mathematics (1) : interest rates and valuing cashflows --Financial mathematics (2) : miscellaneous examples --Fundamental statistics : a selection of key topics -- Multivariate distributions, and sums of random variables -- Benefits of diversification --Modern portfolio theory -- Duration : a measure of interest rate sensitivity -- Asset-liability matching : an introduction – Hedging : protecting against a fall in equity markets --Immunisation : Redington and beyond -- Copulas --Copulas : a modelling exercise -- Bond portfolio valuation : a simple credit risk model -- The Markov 2-state mortality model -- Approaches to fitting mortality models : the Markov 2-state model and an introduction to splines --Assessing the suitability of mortality models : statistical tests -- The Lee-Carter model --The Kaplan-Meier estimator -- Cox proportionate hazards regression model -- Markov multiple state models : applications to life contingencies -- Contingencies I -- Contingencies II --Actuarial risk theory : an introduction: collective and individual risk models --Collective risk models : exercise -- Generalised linear models : poisson regression -- Extreme value theory --Introduction to machine learning: k-Nearest Neighbours (kNN) --Time series modelling in R -- Volatility models : GARCH --Modelling future stock prices using geometric Brownian motion : an introduction -- Financial options : pricing, characteristics, and strategies.