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    Statistics with Financial Mathematics
    Go to University of Sheffield
    University of Sheffield

    Statistics with Financial Mathematics

    University of Sheffield

    University of Sheffield

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    United Kingdom, Sheffield

    University RankQS Ranking
    105

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Main Site

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesSeptember-2026
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    GBP 29,190  / year(s)
    Next Intake September-2026

    Statistics with Financial Mathematics

    About

    Course description

    Our Statistics with Financial Mathematics MSc trains you to apply the probabilistic, statistical and mathematical techniques that are used in the finance industry.

    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.

    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.

    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. 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.

    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.

    Recent examples of dissertation topics include:

    • Financial modelling with Lévy processes
    • Contagion in Financial Networks

    Accreditation

    Accredited by the Royal Statistical Society

    Disciplines

    Faculty of Science

    School of Mathematics and Statistics

    Requirements

    Entry Requirements

    Entry requirements

    Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.

    We look for applications that demonstrate background within probability, statistics, financial mathematics or actuarial science. Typically we require at least two modules from within these areas, within the final year of undergraduate study.

    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.

    We also consider a wide range of international qualifications:

    Entry requirements for international students

    We assess each application on the basis of the applicant’s preparation and achievement as a whole. We may accept applicants whose qualifications don’t meet the published entry criteria but have other experience relevant to the course.

    The lists of required degree subjects and modules are indicative only. Sometimes we may accept subjects or modules that aren’t listed, and sometimes we may not accept subjects or modules that are listed, depending on the content studied.

    English language requirements

    IELTS 6.5 (with 6 in each component) or University equivalent.

    If you have any questions about entry requirements, please contact the school/department.

    English Program Requirements

    IELTS 6.5 (with 6 in each component) or University equivalent

    Pathway programme for international students

    If you're an international student who does not meet the entry requirements for this course, you have the opportunity to apply for a pre-masters programme in Business, Social Sciences and Humanities at the University of Sheffield International College. This course is designed to develop your English language and academic skills. Upon successful completion, you can progress to degree level study at the University of Sheffield.

    If you have any questions about entry requirements, please contact the school/department.

    Career

    Your career

    Our Statistics with Financial Mathematics MSc is great preparation for roles in the finance sector such as banking, actuarial work, pensions and insurance. Employers that have hired our graduates in finance roles include Goldman Sachs, Lloyds, Aviva, AXA, Amazon, BAE Systems, Deloitte, PwC and the NHS.

    You’ll cover advanced topics and gain extensive research training, which is also great preparation for a PhD. Sheffield mathematics graduates have secured postgraduate research positions at many of the world's top 100 universities.

    This degree satisfies the eligibility criteria for the Royal Statistical Society’s Graduate Statistician award – a stepping-stone to full professional membership of the RSS and Chartered Statistician status.

    Fee Information

    Tuition Fee

    GBP 29,190 

    Application Fee

    GBP  
    University of Sheffield

    Statistics with Financial Mathematics

    University of Sheffield

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    United Kingdom,

    Sheffield

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