Mathematics courses

About Msc Statistics With Financial Mathematics in University of Sheffield

Course description

Accredited by the Royal Statistical Society

The course trains you to apply the probabilistic, statistical and mathematical techniques that are used in the finance industry.

It is based on our Statistics MSc course, but also includes key financial topics such as the Capital Asset Pricing Model, the Black-Scholes option pricing formula and stochastic processes. You’ll also develop a detailed working knowledge of more general statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning. You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.

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. The aim is to give you skills to include on your CV, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings. Dissertation topics are often provided by external clients – for example, pharmaceutical companies or sports modelling organisations. Distance learning students often come with projects designed by their employer.

Entry requirements

We usually ask for a 2:1 honours degree in mathematics, or equivalent, which must include a significant proportion of modern theorem and proof-based mathematics.

A strong performance in a module based on rigorous mathematical analysis is essential.

Your degree must also include a substantial component in statistics and probability theory. 

English language requirements

Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.

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