Postgraduate research programmes

PhD and MSc by Research

Students in the PhD programme will undertake cutting-edge research under the close supervision of a member of staff within a selected  area of research as described on our website . The period of study is usually three to four years. We also offer an MSc by Research programme, typically one year in duration. If you would like more information about a particular project, you are welcome to contact the member of staff in question.

Centre for Doctoral Training 

The Centre for Doctoral Training in Computational Statistics and Data Science (COMPASS) is a 4-year PhD programme hosted by the Institute for Statistical Science in the School of Mathematics. A team of world-leading experts from across the University of Bristol together with external partners from industry and government train COMPASS students in statistical and computational techniques of data science.

Training, events and facilities

There are a huge variety of opportunities for training in the School of Mathematics and across the University. PhD students are required to attend 100 hours of taught courses and other research-related activities such as seminar series and reading groups over the course of their degree, with at least 60 hours in their first year. The precise make up is decided upon between the student and supervisor at the start of the first year.

Academy for PhD training in Statistics

First year PhD students in statistics are expected to attend four one-week residential courses provided by the national Academy for PhD Training in Statistics (APTS). Delivered collaboratively by nine prominent UK Statistics research groups, these intensive APTS courses give new postgraduate students drawn from across the UK the chance to get together and learn (formally and informally) from top class researchers, in a stimulating academic and social environment. Typically the following courses are offered: statistical computing, statistical inference, statistical modelling, statistical asymptotics, applied stochastic processes, computer intensive statistics, survival analysis and nonparametric smoothing. See the APTS website for more information. 

Taught Course Centre

The Taught Course Centre (TCC) is a collaboration between the Mathematics Departments of Bath, Bristol, Imperial College, Oxford and Warwick and funded by a grant from the EPSRC. The TCC offers about 25 lecture courses across Applied and Pure Mathematics and Probability. Courses are delivered using interactive audio-visual technology: lectured from one institution, they may be attended interactively in all. These courses are given by leading experts across a broad range of research areas and are aimed 4 at providing postgraduate students an advanced level of tuition in a broad range topics. See the TCC website for more information.

Seminars

The School of Mathematics organises a large number of research seminars and special lecture events, across all areas of research. There are more than 15 weekly seminar series available, in addition to several other events throughout the year such as the Distinguished Lecture Series. All postgraduate students are expected to attend at least one seminar series relevant their research. ‘Formal’ seminars are given by distinguished visitors from elsewhere in Britain and abroad. ‘Informal’ seminars are usually given by people already in Bristol  including postgraduates themselves. See our events page for the latest events in the schedule of seminars and special lectures.

Skills training

The Bristol Doctoral College provides information, guidance and skills training for all postgraduate students working towards a doctoral degree. The School of Mathematics runs an induction course for all postgraduate students during welcome week providing an introduction to the University and the basic skills required for postgraduate work.

Computing facilities

Our postgraduate students have access to world-class computing facilities. Each research student is given a desktop compute and a wide range of commonly used applications. Students also have access to state-of-the-art statistical and computational applications, depending on licensing and specific research needs. There is an excellent research computing infrastructure, accessed from fully networked workstations on every desk. The School runs its own multiprocessor farm (CREAM: Cluster for Research in Advanced Mathematics) consisting of over 31 64-bit nodes totalling over 230 cores, with associated storage and networking. Research students also have access to the University’s High Performance Computing facilities.