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MSc in Statistical Science

Applications are now open for entry in October 2018

The Master of Science in Statistical Science offers a 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 around May, through your work in the assessed practical problems set during the year, and by the quality and depth of your dissertation.

The content and delivery of the course was revised for the 2016/2017 academic year. There is now more emphasis on computational statistics and statistical machine learning, more opportunity for students to take courses from the MMath Mathematics and Statistics degree, and enhanced class support. The assessment structure remains the same as in previous years.

Students take four, or exceptionally five, courses each term. Three courses each term are core courses and students must complete the practical sessions in these courses.

The options available will vary from year to year. The core courses available each year may also vary. In 2017-18 the core courses are:

Applied Statistics
Statistical Inference
Statistical Programming
Computational Statistics
Statistical Machine Learning
Bayes Methods

In 2017-18 the options are:

Stochastic Models in Mathematical Genetics
Probability and Statistics for Network Analysis
Graphical Models
Advanced Topics in Statistical Machine Learning
Advanced Simulation Methods
Actuarial Science

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.

Open Day November 2017 slides [PDF]

Admissions Procedure

Applicants should complete and submit their application online and upload electronic copies of supporting materials (including written materials and the 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. Applicants may save a part-completed form and sign in later to complete the remaining sections.

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 applicants apply to. This is payable by credit card on submission of each online application, and by cheque, money order or banker’s draft on submission of each paper application. For full details of closing dates, guidance notes for applying online and on paper, and a link to the Online Application form, visit:
www.ox.ac.uk/admissions/graduate/applying-to-oxford/application-guide

If you have specific questions about the MSc or PG Diploma in Statistical Science, please email graduate.admissions@stats.ox.ac.uk