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Graduate

PGDip in Statistical Science

A taught graduate course offering advanced training in applied statistics, statistical inference, machine learning, and computational methods, without a dissertation.

Full time

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

Expected length
9 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

The dome of the Radcliffe Camera through the trees

About the course

The PGDip 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.

Course structure

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

The PGDip 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 and report writing.

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.

Core components

You will take five core courses. You will be required to take all of the core courses.

Option courses

You will take four option courses.

Course details

Entry requirements

For entry in 2027-28

Funding and costs

College preference

Before you apply

Completing your application

Contact details