Course summary

Develop your understanding of a variety of statistical techniques and explore mathematical concepts, models and tools used in the finance industry. Course description Our MSc Statistics with Financial Mathematics course trains you to apply the probabilistic, statistical and mathematical techniques that are used in the finance industry. Through our MSc Statistics with Financial Mathematics course you’ll develop the knowledge and experience needed to work in financial services such as banking, insurance and investments. You'll also develop the problem solving and data analysis skills employers value in roles spanning consultancy, data science, public administration and research. You’ll explore key financial topics such as the Capital Asset Pricing Model, the Black-Scholes option pricing formula, and stochastic processes. In addition to this, you’ll learn important statistical techniques and concepts, including linear and generalised linear modelling and Bayesian statistics. You’ll also master the ability to analyse and draw meaningful conclusions from data, and grow your programming skills using the statistical computing software R. You’ll spend around a third of your time working on your dissertation, under the supervision of an active researcher who is an expert in their field. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll blend theoretical knowledge with practical skills, developing project planning, data acquisition, problem specification and analysis skills. You’ll also learn how to present statistical information, and gain experience communicating your findings verbally and in writing. Examples of recent dissertation topics include:

• Financial modelling with Lévy processes

• Monte Carlo Simulation, Variance Reduction and Applications to Option Pricing