Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year
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:
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.
Accredited by the Royal Statistical Society
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.
We look for applications that demonstrate background within probability, statistics, analysis or actuarial Science. Typically we require at least two modules from within these areas.
An introductory course in mathematical analysis (eg real, complex, or stochastic), or other mathematical background equivalent to this level is also required.
Applications with employment history in statistical or financial fields are also welcomed, including for distance learning courses. In such cases we consider the balance of the employment history and academic qualifications.
Employers hire our graduates because of their ability to analyse problems and reach solutions in a clear, precise and logical way. Our courses are designed to give you the skills that will help you succeed in a range of careers, spanning areas such as:
Strong mathematical skills open all kinds of doors, whether you want a job that involves doing lots of complex calculations, or one where you help businesses, charities and policymakers to find the best solutions to real-world problems.
Our graduates have been hired by a variety of employers, such as BAE Systems, Barclays, Dell, Deloitte, Goldman Sachs, HSBC, IBM, Lloyds, PwC, Unilever, the Civil Service and the NHS.
You’ll cover advanced topics and gain extensive research training, which is also great preparation if you’d like to pursue a career in research. Sheffield mathematics graduates have secured PhDs at many of the world's top 100 universities.
Core modules:
Financial Mathematics
The Statistician's Toolkit
Bayesian Statistics and Computational Methods
Stochastic Processes and Finance
Dissertation
Optional modules:
A student will take 15 credits (one module) from this group.
Machine Learning
Time Series
A QS world top-100 university Studying at the University of Sheffield means you’ll get the future that follows a degree from a Russell Group Universit...
Wed 29 Apr 2026