MSc in Statistical Science

The Master of Science in Statistical Science [previously called the MSc in Applied Statistics] is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive theory and methods.

The MSc will aim to train you to solve real-world statistical problems. When completing the course you should be able to choose an appropriate statistical method to solve a given problem of data analysis, implement the analysis on a computer and communicate your results clearly and succinctly.

The MSc 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 2016-17 the core courses are:

    Applied Statistics
    Statistical Inference
    Statistical Programming
    Computational Statistics
    Data Mining and Machine Learning
    Bayes Methods.

In 2016-17 the options are:

    Stochastic Models in Mathematical Genetics
    Probability and Statistics for Network Analysis
    Graphical Models
    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.

Admissions process

If you have specific questions about the MSc or PG Diploma in Statistical Science, please email