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Graduate

MSc in Statistical Science

A taught graduate course offering advanced training in applied statistics, statistical inference, machine learning, and computational methods, with a final dissertation based on independent research.

Full time

Open
Upcoming application deadline for 2027-28 entry:
12:00 midday UK time on Friday 13 November 2026

Expected length
12 months
Expected start date
October 2027
English language level
Higher level required

Application deadlines

12:00 midday UK time

Applications more likely to receive earlier decisions

12:00 midday UK time

Final application deadline for entry in 2027-28

College buildings and the Radcliffe Camera across a field

About the course

The MSc in Statistical Science is designed to train you to solve real-world statistical problems. By the end of the course, you should be able to choose an appropriate statistical method for a given data analysis problem, implement the analysis on a computer and communicate your results clearly and succinctly.

The course combines rigorous training in statistical theory with modern applied and computational methods, including machine learning. Teaching is delivered through lectures, problems classes and hands-on practical work, giving you experience of both the mathematical foundations of statistics and the practical skills needed to analyse data efficiently.

As an MSc student, you will also complete a dissertation project, giving you the opportunity to investigate a statistical problem in depth. Projects typically involve modelling, computing and the analysis of real data, helping you develop independent research skills alongside clear written communication.
 

Course structure

This section provides an overview of the course structure, while details of the individual course components are provided below.

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, offering you a substantial opportunity for self-directed study and research. 

You will attend nine units work of modules (five core and four options). You can expect to attend four or five (or, in exceptional cases, three or six) modules per term. There are three core modules in the first term and two in the second. The split of option modules will depend on how the modules you choose are split between terms.  The core courses are compulsory and involve practical components that students must complete. The core and option modules may vary from year to year.

The MSc offers a substantial opportunity for independent study and research in the form of a dissertation. The main period for dissertation work is June to September (though you may do some preparatory work for your dissertation earlier in the year) and during this time students should expect to work hours that are equivalent to full-time working hours, although extra hours may occasionally be needed.

A dissertation gives students the opportunity to develop broader transferable skills in the processes of organising, communicating, and presenting their work, and will equip students well for further research or for a wide variety of other careers.

Core components

You will take five core courses and submit a dissertation. You will be required to take all of the core courses.

Option modules

You will take four option modules

Course details

Entry requirements

For entry in 2027-28

Funding and costs

College preference

Before you apply

Completing your application

Contact details