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MSc in Statistical Science

The Master of Science in Statistical Science offers broad high-level training in applied and computational statistics, statistical machine learning, and the fundamental principles of statistical inference. Training is delivered through mathematically demanding lectures and problems classes, hands-on practical sessions in the computer laboratory, report writing and dissertation supervision. You will have around three months to work on your dissertation with guidance from your supervisor.

You will be assessed on your performance in written examinations in May/June, through your work in the assessed practical problems set during the year, and by the quality and depth of your dissertation.

Students can expect to take four or five courses each term (or, in exceptional cases, three or six) for a total of nine courses. These are made up of five core courses and four optional courses. The optional courses available will vary from year to year. The core courses available each year may also vary.

In 2021-2022 the core courses are:

  • Applied Statistics
  • Statistical Inference
  • Statistical Programming
  • Computational Statistics
  • Statistical Machine Learning

In 2021-2022 the options are:

  • Stochastic Models in Mathematical Genetics
  • Probability and Statistics for Network Analysis
  • Advanced Topics in Statistical Machine Learning
  • Graphical Models
  • Advanced Simulation Methods
  • Algorithmic Foundations of Learning

The Postgraduate Diploma in Statistical Science is a nine-month taught course, running from October each academic year. It is similar to the MSc in Statistical Science but there is no dissertation.

Entry Requirements

As a minimum, applicants should hold or be predicted to achieve the equivalent of a UK first-class or strong upper second-class undergraduate degree with honours in a degree course with advanced mathematical and statistical content.

However, entrance to the course is very competitive and most successful applicants have a first-class degree of the equivalent.

To find out the sort of mathematical and statistical content you need to have studied, please refer to our MSc Prerequisites.

How to Apply

Admissions for 2022-23 will open on 1 September 2021.

Applicants should complete and submit their application online, via the University’s online form. Applicants should upload electronic copies of supporting materials (including written materials and their CV). Applicants can also register the email details of their referees online and the University will contact them directly to request references, confidentially and securely.

Paper applications are acceptable in exceptional cases where it is not possible for you to apply online; to inquire about whether your circumstances qualify for this exception, please contact the Graduate Admissions Office.

There is an application fee for each programme of study that applicants apply to.

More detailed information on how to apply to the MSc or PGDip in Statistical Science is available on the University pages about the MSc in Statistical Science or the PGDip in Statistical Science. For guidance on how to complete your application, please refer to the online Application Guide.

Fees and Funding

For information on fees and funding, visit the University fees and funding webpage. To help you find funding, the University provides a fees, funding and scholarship search.

Jane Street Scholarships

The Mathematical Institute, Department of Computer Science and the Department of Statistics at the University of Oxford are consistently ranked amongst the very best mathematical sciences and computer science departments in the world, for both teaching and research. The Jane Street Graduate Scholarships are four fully funded scholarships for UK Black or Mixed-Black students applying to courses from these departments.

Any Questions?

If you have any questions please check out our Frequently Asked Questions page first. If you cannot find the answer to your question, you can e-mail