Statistics

Entry requirements

First- or upper second-class degree or an equivalent standard in other qualifications approved by the University in a discipline that provides some quantitative training (eg computer science, economics, engineering, mathematics, physics, statistics).

Months of entry

September

Course content

This programme, led by statisticians from across the University, provides a broad grounding in advanced statistical methods, with an emphasis on practical problems arising in the context of collecting and analysing scientific data from a variety of fields.

Compulsory modules: Statistical Theory; Statistical Computing; Design of Experiments; Generalised Linear Models; Bayesian Methods; Survival Analysis; Research Skills; Statistics Seminars.

Optional modules include: Topics in Statistics (research-led); Modelling Hierarchical (Multilevel and Longitudinal) Data; Computer-intensive Statistical Methods; Multivariate Analysis; Survey Methods; Statistical Genetics.

Plus dissertation as three-month project (MSc only)

Information for international students

Please see the international page.

Fees and funding

Please see the funding page for more details.

Qualification and course duration

PGDip

MSc

Course contact details