Find a programme
Run by Faculty of Science
Awards available PhD, MSc by research
Programme length PhD: Three to four years full-time, or part-time equivalent
MSc by research: One year full-time, or part-time equivalent
Location of programme Clifton campus
Part-time study available Yes
Start date Usually September 2020, but flexible if funding allows.

Programme overview

The School of Mathematics is one of the largest schools in the Faculty of Science, with about 140 members of academic staff and research assistants and 70 postgraduate students. Our staff and students are engaged in research across a wide range of areas in applied mathematics, probability and dynamical systems, mathematical physics, pure mathematics and statistics. We are proud of our world-class reputation for research excellence and our commitment to provide the highest quality training for our postgraduate students.

World-class research

The school’s successes have been formally recognised in the latest Research Excellence Framework (2014), in which 87 per cent of the school’s research was rated as world-leading or internationally excellent. According to the Times Higher Education analysis of these results, Bristol is in the top five UK mathematics departments, along with Cambridge, Imperial, Oxford and Warwick. In recent years the quality of our research has attracted a number of distinguished prizes and substantial external grants.

Our postgraduates

The success of our school is based on attracting not only the best available staff, but also by recruiting the best possible postgraduate students. The school offers cutting-edge PhD and taught master's programmes, and we welcome applications from national and international students all year round. Postgraduate students in Bristol enjoy a friendly and stimulating environment. During your programme you will have the opportunity to develop your mathematical skills, collaborate with leading researchers and apply your expertise across a range of academic disciplines.

Our partnerships

The Centre for Doctoral Training in Computational Statistics and Data Science (COMPASS) is a four-year PhD programme hosted by our Institute for Statistical Science. 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

The Heilbronn Institute for Mathematical Research is an exciting partnership between the University of Bristol and the Government Communications Headquarters. Established in 2005, the Heilbronn Institute brings together high-calibre mathematicians to conduct research across several areas of interest, including number theory, quantum information and computational statistics. In collaboration with the school, it organises an annual conference and several workshops and weekly seminars, which further enhances the research environment for our postgraduate students.

The school has collaborative research programmes with other departments, such as biological sciences, chemistry, earth sciences, engineering mathematics, aerospace engineering, electrical and electronic engineering, computer science, physics and medical sciences. It is involved with University research centres in behavioural biology, complexity sciences, environmental and geophysical flows, and nanoscience and quantum information.

The school also has well-established connections with a number of external research institutions, such as Hewlett-Packard, QinetiQ, Unilever, Barclays Bank, Toshiba and National Air Traffic Services.

Fees for 2020/21

We charge an annual tuition fee. Fees for 2020/21 are as follows:

UK/EU: full-time
UK/EU: part-time
Overseas: full-time
Channel Islands/Isle of Man: full-time

Bench fees: For postgraduate research students who are not funded by UK Research Councils or (specific) UK charities, it is usual to charge a bench fee. A bench fee covers the costs of laboratory consumables, specialist equipment and other relevant costs (e.g. training) for the duration of the programme. The bench fee charged can vary considerably depending on the nature of the programme being undertaken. Details of specific bench fee charges can be provided on request and will made clear in the offer letter sent to applicants.

Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to a five per cent increase in fees each year. Find out more about tuition fees.

Alumni scholarship

University of Bristol students and graduates can benefit from a ten per cent reduction in tuition fees for postgraduate study. Check your eligibility for an alumni scholarship.

Funding for 2020/21

UK/EU students may be eligible to apply for EPSRC funding for PhD study. To be considered for EPSRC funding, applications should be submitted before Monday 6 January 2020.

The school provides financial support for PhD students from a number of sources, including research councils, industry and scholarships. For further details, see the School of Mathematics website.

Further information on funding for prospective UK, EU and international postgraduate students.

Entry requirements

A first-class or upper second-class honours degree (or international equivalent) in mathematics or a closely related subject, or a relevant master's qualification. Places funded by the school may be subject to higher entry requirements.

See international equivalent qualifications on the International Office website.

English language requirements

If English is not your first language, you need to meet this profile level:
Profile F
Further information about English language requirements and profile levels.

Admissions statement

Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.

Admissions statement

Research groups

Research priorities

The priorities of the school's research efforts are:

  • execution of internationally recognised world-class mathematical and statistical research, resulting in key publications and presentations;
  • research training of graduate students who show the highest potential;
  • research development and career progression of post-doctoral research workers;
  • interaction with external groups both within academia and beyond;
  • commercialising opportunities combining research and enterprise.

Research institutes

A wide range of research is conducted in the school, spanning many of the conventional boundaries between disciplines. Potential applicants are encouraged to consult the school's website for detailed accounts of the research themes, but broadly there are five research institutes:

Within the Institute for Applied Mathematics, research is concentrated in the areas of

The Institute for Mathematical Physics concentrates on mathematical physics research themes:

The Institute for Probability, Analysis and Dynamics research themes are intricately intertwined:

The Institute for Pure Mathematics is concerned with discovering, understanding and explaining abstract mathematical structures within the research themes of:

The Institute for Statistical Science explores the whole spectrum of modern statistics under the research themes:

The Institute of Statistical Science hosts the Centre for Doctoral Training in Computational Statistics and Data Science.


Members of the school collaborate with colleagues from a variety of disciplines at Bristol, including physics, social sciences, biology and medicine, as well as with external organisations, such as Hewlett Packard, QinetiQ, Unilever, Barclays Bank, the Government Communications Headquarters and National Air Traffic Services.


Graduates have gone on to on to work in industry, finance, consultancy and academia, including post-doctoral positions and lectureships.

Staff profiles

Institute for Applied Mathematics

Dr Isaac Chenchiah, (Senior Lecturer), Applications of nonconvex calculus of variations and partial differential equations; growth of biological materials; solid mechanics and materials science; statics and dynamics of microstructures and phase transitions in solids.

Dr Silke E Henkes, (Senior Lecturer in Applied Mathematics), Soft and Biological Matter

Professor Jens Eggers, (Professor of Applied Mathematics), Complex fluids; hydrodynamics; statistical mechanics.

Professor Andrew Hogg, (Professor of Fluid Mechanics), Geophysical and environmental fluid mechanics; granular flows

Professor Noah Linden, (Professor of Theoretical Physics), Quantum information and quantum computation

Professor Tanniemola Liverpool, (Professor of Theoretical Physics), Biological physics; systems biology; theoretical soft matter physics

Dr Ashley Montanaro, (Reader in Quantum Computation), Quantum algorithms and computational complexity, quantum query and communication complexity, quantum walks.

Dr Richard Porter, (Senior Lecturer in Applied Mathematics), Wave motion in fluids and elastic solids and the interaction of waves with structures.

Dr Rachel R Bennett, (Vice Chancellor's Fellow), Soft and biological matter theoretical modelling

Professor Jonathan Robbins, (Professor of Mathematics), Semiclassical quantum mechanics and quantum chaos Quantum statistics and the spin-statistics relation Liquid crystals Micromagnetics and spintronics

Dr John Russo, (Lecturer in Applied Mathematics), Complex fluids, soft condensed matter systems, statistical mechanics and molecular simulations

Dr Valeriy Slastikov, (Senior Lecturer in Applied Mathematics), Applied analysis, calculus of variations and nonlinear partial differential equations; liquid crystals and micromagnetics; materials science.

Dr Karoline Wiesner, (Reader in Complexity Sciences), Information theory in the sciences

Professor Stephen Wiggins, (Professor of Applied Mathematics), Dynamical systems and applications

Institute for Mathematical Physics

Dr Tamara Grava, (Senior Lecturer), Long time behaviour of solutions to Hamiltonian PDEs; normal matrix models; study of solutions to Hamiltonian PDEs near critical points

Professor Francesco Mezzadri, (Professor of Mathematical Physics), Applications of random matrix theory to quantum chaos, statistical mechanics and quantum transport.

Dr Sebastian Muller, (Senior Lecturer), Quantum chaos and its relation to random matrix theory.

Dr Joseph Najnudel, (Reader in Mathematics), Random matrix models and their infinite-dimensional generalizations Stochastic processes, filtrations and applications Limiting probability measures constructed from the Brownian motion Polymer models

Dr Roman Schubert, (Lecturer in Mathematics), Time dependent problems in quantum mechanics and their relation to classical mechanics, in particular quantum chaos.

Dr Martin Sieber, (Reader in Applied Mathematics), Quantum chaos

Dr Nina Snaith, (Reader), Connection between Random Matrix Theory and certain number theoretical functions.

Dr Yves Tourigny, (Senior Lecturer in Numerical Analysis), Spectral properties of Schrodinger operators, diffusion processes and the Schrodinger equation, products of random matrices.

Institute for Probability, Analysis and Dynamics

Professor Balint A Toth, (Professor of Probability and Director of Institute for Probability, Analysis and Dynamics), Limit theorems; probability theory; random walks; randomness in space and time; statistical physics (classical and quantum); stochastic processes.

Dr Marton Balazs, (Senior Lecturer), Interacting systems; stochastic processes

Professor Carl Dettmann, (Professor of Applied Mathematics and Deputy Director of Institute for Probability, Analysis and Dynamics), Dynamical systems, statistical physics, wireless networks, nonlinear dynamics and mathematical physics.

Dr Asma Hassannezhad, (Lecturer), Geometric analysis Spectral geometry

Dr A J Ganesh, (Reader in Complexity Sciences), Applied probability; Bayesian modelling and analysis; optimisation under uncertainty

Professor Oliver Johnson, (Professor of Information Theory), Data compression; entropy theory; probabilistic limit theorems

Dr Thomas M Jordan Senior Lecturer in Pure Mathematics, Connections between multifractal analysis, large deviations and the thermodynamic formalism, self-similar and self-affine sets, non-conformal dynamical systems and Fourier transforms for invariant measures.

Professor Jens Marklof, (Professor of Mathematical Physics Head of School), Number theory, quantum chaos, ergodic theory, dynamical systems

Dr Farhad Babaee, (Lecturer), algebra combinatorial algebraic geometry

Dr Andrew Booker, (Reader of Pure Mathematics), L-functions and their applications to number theory and automorphic forms

Dr Tim Burness, (Senior Lecturer in Pure Mathematics), Group theory and representation theory

Professor Tim Dokchitser, (Professor in Algebraic/Arithmetic Geometry Deputy Director of Institute for Pure Mathematics), Algebraic number theory and elliptic curves

Dr Viveka Erlandsson, (Lecturer in Mathematics), Hyperbolic geometry Low dimensional topology Teichmüller theory

Dr Kentaro Fujimoto, (Lecturer in Mathematical and Philosophical Logic), Mathematical logic and proof theory

Dr Mark Hagen, (Lecturer in Mathematics), Group theory topology geometry combinatorics geometric group theory

Dr Min Lee, (Royal Society University Research Fellow), Number theory

Dr John M Mackay, (Lecturer in Pure Mathematics), Analysis on metric spaces, especially questions related to Hausdorff dimension and quasisymmetric maps.; Geometric group theory, particularly hyperbolic and relatively hyperbolic groups.

Dr Fatemeh Mohammadi, (Lecturer in Pure Mathematics), Commutative algebra, applied algebraic geometry and combinatorics

Professor Jeremy Rickard, (Professor of Mathematics), Modular representation theory of finite groups

Dr Misha Rudnev, (Senior Lecturer in Pure Mathematics), Geometric and arithmetic combinatorics and geometric measure theory

Dr Lynne Walling, (Reader in Pure Mathematics), Number theory

Professor Philip Welch, (Professor of Pure Mathematics), Mathematical logic and set theory

Professor Christophe Andrieu, (Professor in Statistics), Signal processing

Dr Haeran Cho, (Lecturer), Highdimensional statistical inference; multiscale modelling; time series analysis

Dr Mathieu Gerber, (Lecturer in Statistical Science)

Dr Tobias Kley, (Lecturer in Statistical Science), Quantile regression, copulas and rank-based procedures applied to the analysis of stationary and non-stationary time series

Dr Arne Kovac, (Senior Lecturer), Nonparametric regression and image analysis

Dr Dan Lawson, (Sir Henry Dale Research Fellow), Bayesian modelling statistical genetics statistical analysis of big data statistical methods for intractible models dynamical systems and game theory networks

Dr Anthony Lee, (Lecturer in Statistical Science), Bayesian modelling and analysis Monte Carlo computation number theory

Dr Nick P Whiteley, (Senior Lecturer in Statistics), Bayesian modelling and analysis; Monte Carlo computation; statistical signal processing; time series.

Dr Patrick Rubin-Delanchy, (Lecturer in Statistical Science), Networks, time series and point processes machine learning

Dr Vladislav Tadic, (Senior Lecturer in Statistics), Monte Carlo computation; optimisation under uncertainty; statistical signal processing.

Dr Feng Yu, (Senior Lecturer in Statistics), High-dimensional and highly-structured data scaling limits statistical genetics

How to apply
Application deadline:

We welcome applications at any time of year. However, to be considered for school funding, applications should be submitted before Monday 6 January 2020.

Get in touch

Postgraduate Research Admissions Team Phone: +44 (0) 117 42 84906 Email:

School of Mathematics
Fry Building
Woodland Road
Bristol BS8 1UG
School website: School of Mathematics

Open days and visits

Find out how to attend one of our upcoming online events.

International students

Find out more about becoming a student at Bristol, applying for a visa and the support we offer to international students.

Bristol Doctoral College

The Bristol Doctoral College facilitates and supports doctoral training and researcher development across the University.

REF 2014 results

  • Mathematical Sciences:
  • 43% of research is world-leading (4*)
  • 44% of research is internationally excellent (3*)
  • 12% of research is recognised internationally (2*)
  • 1% of research is recognised nationally (1*)

Results are from the most recent UK-wide assessment of research quality, conducted by HEFCE. More about REF 2014 results.


Important disclaimer information about our programmes.

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