
Statistics with Financial Mathematics MSc
Course Overview - Statistics with Financial Mathematics MSc
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. Youll also develop the pro...
Develop your understanding of a variety of statistical techniques and explore mathematical concepts, models and tools used in the finance industry.<br/><br/><strong>Course description</strong><br/>Our MSc Statistics with Financial Mathematics course trains you to apply the probabilistic, statistical and mathematical techniques that are used in the finance industry.<br/><br/>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. Youll also develop the problem solving and data analysis skills employers value in roles spanning consultancy, data science, public administration and research.<br/><br/>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.<br/><br/>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.<br/><br/>Examples of recent dissertation topics include:<br/><br/><br/>• Financial modelling with Lévy processes<br/><br/><br/><br/>• Monte Carlo Simulation, Variance Reduction and Applications to Option Pricing<br/><br/><br/><br/>Dissertation topics are often provided by external clients, such as pharmaceutical companies or sports modelling organisations. Distance learning students also often come with projects designed by their employer.<br/><br/><strong>Accreditation</strong><br/>Accredited by the Royal Statistical Society<br/><br/>Please see our University website for the most up-to-date course information.
Course Information
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
09/2026
Campus
Main Site
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
S18
Points of Entry
Unknown
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