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