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2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components
We may also consider non-standard applicants, please contact us for information.
Months of entry
We welcome applications from those seeking to undertake PhD research degrees.
The Integrated PhD in Statistics is aimed at those who have the academic potential to do a PhD in Statistics but lack the necessary statistical background to be normally considered for a PhD. This is a four-year PhD programme which involves successful completion of postgraduate level (MSc) courses and a dissertation during the first year before progressing onto the PhD.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
Qualification, course duration and attendance options
- Integrated PhD
- full time48 months
- Campus-based learningis available for this qualification
Course contact details
- Postgraduate Admissions