University of Bristol - Science and Engineering
MSc Engineering Mathematics
Bristol, United Kingdom
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
GBP 34,100 / per year **
STUDY FORMAT
On-Campus
* home applicants | overseas applicants: 25 july 2025
** overseas full-time tuition
Key Summary
Engineering mathematics is the art of applying mathematical and engineering principles to complex, real-world problems across areas as wide-ranging as artificial intelligence, ecology, medicine, physics, social media and sustainability.
For this MSc, you will be fully embedded within an engineering faculty, benefitting from unrivalled access to a broad range of industrial collaborations and pioneering research.
Spanning engineering, mathematics and computer science, this programme would suit graduates from any related discipline who would like to become versatile at solving multidisciplinary challenges.
Graduates will be well placed to meet the increasing demand from the industrial, government and service sectors for maths-savvy graduates who can work across traditional boundaries and drive high-tech innovation. From designing Formula One cars to renewable energy technologies, or exploring the field of biomedicine, our engineering graduates go on to a wide range of exciting careers.
from 25th November 2024- 4th of December 2025
Taught units are organised around three key strands: engineering, computational science and mathematical and statistical training. We tailor to the needs of the student, as each strand is agreed based on previous experience and prior learning. Appropriate units are aligned with each strand. In addition, there are cross-references throughout the three stands to ensure that all graduates obtain a uniform level of background knowledge and appropriate specialisation.
Real-world problem solving is integral to each unit and spans many different application areas – from robotics and social media to medicine and environmental modelling. These problems are sourced from our industrial collaborators or address challenges in current research.
Having successfully completed the taught units, you will prepare an MSc thesis during the summer term, to be submitted at the end of the academic year.
Unit names
- Research Project
- Skills in Mathematical Research
- Select one unit from this list:
- Statistical Computing and Empirical Methods for Engineering Mathematics
- Software Development: Programming and Algorithms for Engineering Mathematics
From the following option lists, you must choose 2 units (40 credits) in teaching block 1 and 2 for a balanced workload. Teaching block 4 units count as Teaching block 2 for this purpose.
Select 2 units from this list (Students may only take either SEMT20003 OR SEMT30006 but not both):
- Methods of Artificial Intelligence
- Methods of Applied Mathematics
- Robotics Systems
- Data-driven Physical Modelling
- Mathematical Modelling for Sustainable Development
- Mathematical Modelling in Biology, Medicine and Public Health
- Transport and Mobility Modelling
- Cognitive Artificial Intelligence
Select an additional 2 units from the list above, or from the following:
- Information Theory and Coding
- Product and Production Systems
- Renewable Energy for a Sustainable Future
- Smart Cities and Infrastructure
- Advanced Topics in Mechanical Engineering
- Wind Energy Systems
- Asymptotics
University of Bristol is ranked 8th in the UK and 51st in the world (QS World University rankings 2026)
This programme provides a highly creative, challenging and enjoyable experience, which will be excellent preparation for your future career. It will give you the tools to be successful in a variety of careers, many of which enable you to apply your knowledge and skills.
Our extensive connections with industry, through collaborative research and consultancy, make the MSc in Engineering Mathematics very relevant professionally. Many graduates from this department have gone on to work for companies that recruit mathematicians as well as engineers, such as Airbus, Goldman Sachs and Red Bull Racing.