Students
Tuition Fee
GBP 26,700
Per year
Start Date
Medium of studying
On campus
Duration
12 months
Details
Program Details
Degree
PhD
Major
Biomedical Engineering | Civil Engineering | Mechanical Engineering | Applied Mathematics | Mathematical (Theoretical) Statistics
Area of study
Engineering | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 26,700
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


Overview

Researchers in Engineering Mathematics carry out cutting-edge work in areas where mathematics is being applied to future challenges in engineering, industry and the life sciences. Through this area of study, fundamental theoretical and computational advances are made. There is also a strong tradition of interdisciplinary work, international collaboration and publication in leading research journals.


Research is supported by grants from public bodies, such as the Engineering and Physical Sciences Research Council, the Biotechnology and Biological Sciences Research Council, the Medical Research Council and the European Union, as well as from local government, national government and industry.


Key Information

Programme Duration

  • MScR: up to two years full-time; up to four years part-time
  • PhD: up to four years full-time; up to eight years part-time

Start Date

  • From September 2025

Application Deadline

  • For September 2025 entry:
    • Overseas applicants: 31 July 2025
    • Home applicants: 18 August 2025

Delivery Method

  • On-Campus

Location

  • Clifton

Awards Available

  • PhD, MSc by research

World-Leading Research

  • 5th: The University of Bristol is ranked fifth for research in the UK (Times Higher Education).
  • 94%: 94% of our research assessed as world-leading or internationally excellent.

Entry Requirements

PhD Applicants

  • Must hold/achieve a minimum of a merit at master's degree level (or international equivalent) in a relevant discipline.
  • Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first class undergraduate degree.
  • Acceptance will also depend on readiness to pursue a research degree.

MSc by Research Applicants

  • Must hold/achieve a minimum of an upper second class honours degree (or international equivalent) in a relevant discipline.
  • Must demonstrate readiness to pursue a research degree.

International Equivalent Qualifications

  • See international equivalent qualifications on the International Office website.

Admissions Statement

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

English Language Requirements

  • If English is not your first language, you will need to reach the requirements outlined in our profile level E.
  • Further information about English language requirements and profile levels.

Fees and Funding

Home: Full-Time

  • £4,850 per year

Home: Part-Time

  • £2,425 per year

Overseas: Full-Time

  • £26,700 per year

Fees Review

  • Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.

Alumni Discount

  • University of Bristol students and graduates can benefit from a 25% reduction in tuition fees for postgraduate study.
  • Check your eligibility for an alumni discount.

Funding and Scholarships

  • A number of funded studentships are available each year, supported by research council, industry, University or other funds.
  • View the faculty website for a list of currently available funded projects or visit jobs.ac.uk.
  • View information on funding postgraduate study for prospective UK, EU and international postgraduate students.

Career Prospects

  • Our students follow a wide range of careers, such as mathematical modelling and simulation in engineering consultancies, government scientific civil service, the Met Office and the intelligence services.
  • Many graduates go on to work in quantitative finance and financial services more broadly and several have recently become entrepreneurs in the data analytics industry.
  • Others follow traditional academic career paths in universities or in public- and private-sector research institutes.

Meet Our Supervisors

  • The following list shows potential supervisors for this programme. Visit their profiles for details of their research and expertise.
  • Dr Zahraa Abdallah
  • Dr Laurence Aitchison
  • Miss Sophie Baker
  • Professor David Barton
  • Dr Oscar Benjamin
  • Dr Yani Berdeni
  • Dr Stanislaw Biber
  • Dr Nikolai Bode
  • Dr Amberly Brigden
  • Professor John Cartlidge
  • Professor Alan Champneys
  • Professor Dave Cliff
  • Dr Andrew Conn
  • Mr Theodoros Constantinides
  • Professor Ian Craddock
  • Dr Leon Danon
  • Dr Telmo de Menezes e Silva Filho
  • Dr Sean Froudist-Walsh
  • Dr Hermes Gadelha
  • Dr Alberto Gambaruto
  • Mr Martin Garrad
  • Dr Yan Ge
  • Professor Luca Giuggioli
  • Dr Mohammad Golbabaee
  • Dr Cameron Hall
  • Professor Sabine Hauert
  • Professor Helmut Hauser
  • Dr Matthew Hennessy
  • Dr Martin Homer
  • Dr Conor Houghton
  • Dr Hanna Kristiina Isotalus
  • Dr Mike Jeffrey
  • Dr Anders Johansson
  • Dr Ayush Joshi
  • Dr Andrew Lawrie
  • Professor Jonathan Lawry
  • Miss Chanelle Lee
  • Professor Nathan Lepora
  • Dr Qiang Liu
  • Professor Weiru Liu
  • Professor Lucia Marucci
  • Dr Ryan McConville
  • Professor Anthony Mulholland
  • Professor Ian Nabney
  • Dr Paul O'Dowd
  • Dr Dalila O'Grady
  • Dr Ryan Palmer
  • Dr Hemma Philamore
  • Dr Rui Ponte Costa
  • Dr James Pope
  • Dr Efi Psomopoulou
  • Professor Arthur Richards
  • Dr Sebastien Rochat
  • Professor Jonathan Rossiter
  • Professor Raul Santos-Rodriguez
  • Dr Edwin Simpson
  • Dr Robert Szalai
  • Dr Stuart Thomson
  • Dr Antonia Tzemanaki
  • Mr Ben Ward-Cherrier
  • Professor Eddie Wilson
  • Dr Jin Zheng

Research Groups

  • Researchers in Engineering Mathematics contribute to projects across the University including artificial intelligence, machine learning, complexity, robotics, dynamics and control, environmental uncertainty, predictive life sciences, and neurosciences.
  • A list of available projects can be found on the Faculty PhD opportunities site.
  • Read more about Engineering Maths research groups.

How to Apply

  • Please review the list of proposed supervisors above to identify a supervisor who may be suited to your proposed topic and approach.
  • Your supervisor will lead on the key intellectual input in supporting your proposed research project.
  • Please note, your primary supervisor should not be: an honorary or visiting member of staff, an emeritus or retired member of staff, currently registered for a research degree, a Research Associate or a Senior Research Associate.
  • You need to contact a potential academic adviser to discuss available projects, and complete a Supervisor Suitability Form (Office document, 70kB), before submitting an application.
  • You can then apply using our online application system.
  • For further information, please see the guidance for how to apply on our webpages.

Application Deadline

  • For September 2025 entry:
    • Overseas applicants: 31 July 2025
    • Home applicants: 18 August 2025

Start Your Application

  • Select your award type and start date to begin your application
  • Award type: Engineering Mathematics (Macquarie) (PhD), Engineering Mathematics (MSc by Research), Engineering Mathematics (PhD), Engineering Mathematics (Visiting) (PGR)
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