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Entry requirements

Taught master’s with a substantial statistical element, usually with a distinction, or equivalent experience.

Months of entry

January, May, September

Course content

This programme offers the chance to undertake a substantial piece of work that is worthy of publication and which makes an original contribution to the field of statistics. You will begin on the MPhil, and will need to meet certain requirements to be upgraded to PhD status.

Our core areas of research are social statistics, time series and statistical learning, as well as probability and risk management in insurance and finance. We enjoy close links with other departments and offer regular seminars and other departmental activities that help to create a vibrant environment for study and research. The Centre for the Analysis of Time Series (CATS) is closely linked to the Department and we have close links with the Institute and Faculty of Actuaries and industrial partners.

Graduate study of statistics is often vocational, though no progress can be made without a lively intellectual interest in both the methodological principles of statistical modelling and practical applications. You will benefit from a thriving, hardworking, friendly and supportive environment in which your interests can be pursued.

You will be supported by reserved computing resources (including networked departmental workstations exclusively for the use of research students) and an extensive collection of software – both commercial packages and in-house products. Additionally you will have access to a good collection of research monographs and journals and you may access databases of research information. There is a comprehensive assembly of worldwide official statistics. The Department has a dedicated library with statistical journals and books available to you.

Our research students are also encouraged to undertake some teaching from year two onwards. The Department provides funding to facilitate student attendance at appropriate academic conferences wherever possible.

Qualification, course duration and attendance options

  • MPhil/PhD
    part time
    48-96 months
    • Campus-based learningis available for this qualification
    full time
    24-48 months
    • Campus-based learningis available for this qualification

Course contact details

Student Recruitment Office