Statistics with Financial Mathematics MSc

Develop your understanding of a variety of statistical techniques and explore the mathematical concepts, models and tools of the finance industry.<br/><br/>**Course description**<br/>Our Statistics with Financial Mathematics MSc trains you to apply the probabilistic, statistical and mathematical techniques that are used in the finance industry.<br/><br/>In addition to a variety of statistical techniques, we’ll cover key financial topics such as the Capital Asset Pricing Model, the Black-Scholes option pricing formula and stochastic processes.<br/><br/>You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning. <br/><br/>You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.<br/><br/>Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.<br/><br/>External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer. <br/><br/>Recent examples of dissertation topics include Financial modelling with Lévy processes and Contagion in Financial Networks.<br/><br/>**Accreditation**<br/>Accredited by the Royal Statistical Society<br/><br/>Please see our University website for the most up-to-date course information.