Entry requirements

2:i undergraduate degree (or equivalent) in Statistics, Mathematics or a science with sufficiently high mathematical content.

Months of entry


Course content

Warwick invites you to join the PhD/MPhil in Statistics. Study at Warwick's Statistics Department, one of the leading research centres for Statistics worldwide, with expertise in a wide range of topics in Statistics, Data Science, Probability and Mathematical Finance. With personalised PhD training, you will conduct specialist work under supervision of one or more faculty members working on the cutting edge of your research field.

In collaboration with the Mathematics Institute, the Department of Statistics has created the Centre for Doctoral Training (CDT) in Mathematics and Statistics.

Unlike many CDTs, this is not dedicated to a single topic, but covers the range of research interests of both departments. Our vision is to create a thorough training environment in mathematical sciences, spanning theoretical, methodological, and applied areas.

The CDT environment provides common training to a cohort of PhD students across the mathematical sciences in addition to the specialised work of the PhD project under the supervision of individual faculty members. CDT students choose their supervisor and research topic during the first year of the programme. Both Departments have separate dedicated training programmes in the first year, designed to optimally prepare you for your PhD project work. PhD training that is not via the CDT and where the student works with a nominated supervisor from day one is available only in cases where this training scheme is required by the student’s funding source.

Further details of potential PhD projects can be found on individual staff web pages.

Applicants to the CDT do not need a detailed research proposal. However, it will help to indicate your areas of interest in your personal statement. Applicants who apply for funding from one of the University's scholarship schemes (the Chancellor's International Scholarship or the China Scholarship Council Award) must develop a research proposal in close collaboration with a potential supervisor and are strongly encouraged to contact the department well before applying.

Department specialisms

Research within the department can be conveniently divided into three areas, which are somewhat distinct but present a lot of synergies: -Probability and Stochastic FinanceLink opens in a new window -Statistical Methodology and Computational StatisticsLink opens in a new window -Data Intensive Research and Scientific Statistical Modelling

Information for international students

You can find out more about our English language requirements. This course requires the following:

  • Band A
  • IELTS 6.5 (with no less than 6.0 in all components).

Fees and funding

For more information on funding please visit our Postgraduate fees and funding page.

Qualification, course duration and attendance options

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

Course contact details

Postgraduate Admissions
+44 (0)24 7652 4585