| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time |
| Entry year | September 2026 |
| Campus | Streatham Campus |
| Discipline | Engineering |
| Contact |
| Typical offer | 2:2 Honours degree or equivalent |
|---|---|
Overview
- Experience a cutting-edge, interdisciplinary programme designed to equip you with advanced skills to excel in the future of engineering.
- Master high-demand skills such as computational techniques, machine learning, numerical methods, optimisation, and high-performance computing, preparing you to tackle complex engineering challenges in the modern engineering world.
- Study at our state-of-the-art campus with high-performance computing resources and cutting-edge software tools to prepare you for industry roles.
- Learn from and collaborate with experts engaged in pioneering research, staying at the forefront of the latest developments in modern engineering.
- Join a vibrant community of academics and peers, gaining opportunities to participate in innovative research projects.
Top 15 in the UK for General Engineering
13th in the Complete University Guide 2026
Specialist facilities include microscopy suite, aerodynamics and fluids laboratories, additive manufacturing workshop and vibration testing rigs
£6.5million investment in our teaching labs, workshop spaces and equipment
Long-established partnership with the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence
Top 15 in the UK for General Engineering
13th in the Complete University Guide 2026
Specialist facilities include microscopy suite, aerodynamics and fluids laboratories, additive manufacturing workshop and vibration testing rigs
£6.5million investment in our teaching labs, workshop spaces and equipment
Long-established partnership with the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence
Accreditation information
This course launches in 2026 and has been developed in close partnership with industry and in consultation with our accrediting bodies. We have already successfully gained accreditation from industry professional bodies for established programmes across the Engineering Department.
Entry requirements
All applicants are considered individually on merit although we usually require a 2:2 honours degree (or equivalent) in a science, engineering, management or numerate discipline.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
Entry requirements for international students
English language requirements
International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B1.
Please visit our English language requirements page to view the required test scores and equivalencies from your country.
Course content
This MSc offers a unique and comprehensive programme designed to develop advanced expertise in computational engineering. Whether you are an engineer seeking to deepen your capabilities in modelling and simulation or a scientist looking to apply computational methods to real-world engineering problems, this programme provides the ideal foundation.
Focused on the core principles of numerical methods, computational techniques, machine learning, optimisation, and high-performance computing, the curriculum equips you to analyse, design, and optimise complex engineering systems. You will learn to apply cutting-edge modelling tools and simulation techniques to support engineering decision-making, accelerate innovation, and manage sophisticated engineering projects. With a strong emphasis on engineering design, analysis, and problem-solving, this programme prepares you to lead developments in modern engineering fields where computation drives progress.
The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
150 credits of compulsory modules, 30 credits of optional modules.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| ENSM023 | Applied Computational Modelling in Engineering | 15 |
| ENSM015 | Machine Learning for Engineers | 15 |
| ENGM003 | Advanced Finite Element Analysis | 15 |
| ENGM010 | Data-Centric Engineering | 15 |
| ECMM164 | MSc Dissertation | 60 |
| ECMM443 | Introduction to Data Science | 15 |
| ECMM148 | Advanced CFD | 15 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| ECMM461 | High-Performance Computing | 15 |
| ENSM007 | Reduced Order Modelling and Model Discovery | 15 |
| ECMM410 | Research Methodology | 15 |
Fees
2026/27 entry
UK fees per year:
£14,300 full-time
International fees per year:
£30,600 full-time
Scholarships
The University of Exeter offers a wide range of scholarships to support your education, with £7 million available for international students applying to study with us in the 2026/27 academic year, including our prestigious Exeter Excellence Scholarships *. We also provide awards for sport, music and other achievements, as well as regional and partner scholarships with organisations such as Chevening, The Beacon Trust and the British Council. For more information on scholarships and other financial support, please visit our scholarships and bursaries page.
University of Exeter Alumni Scholarship
We are pleased to offer University of Exeter alumni beginning a standalone postgraduate programme in 2026/27 with us a scholarship towards the cost of your tuition fees. Full details can be found here.
*Terms and conditions, including deadlines, apply. See our website for details..
Teaching and research
Teaching and assessment
The programme is delivered through a mix of lectures, seminars, tutorials, industrial presentations, case studies, industry visits, computer simulations, project work and a dissertation.
Our programme includes practical assessments and project work, simulating real-world engineering challenges. You will develop transferable skills and solutions for complex problems such as management and communication skills, computational techniques, data handling and analysis, problem solving, decision making and research methodology. Many of these will be addressed within an industrial and commercial context, preparing you for industry demands.
Personal tutor
You will be allocated a Personal Tutor who is available for advice and support throughout your studies, along with support and mentoring from graduates who are now in industry. There is also a Postgraduate Tutor available to help with further guidance and advice.
Research-Led and Practice-Driven Learning
Experience a dynamic blend of research and practical application. Our programme is taught by experts who are active in cutting-edge research and deeply involved in industry practice.
Engage with the latest advancements in Computational Engineering, where you will explore new ideas, research breakthroughs, and emerging technologies. You will have the unique opportunity to contribute to practical research projects, gaining hands-on experience that sets you apart.
Learn from our internationally recognised faculty and industry practitioners who are shaping the future of Computational Engineering. Their expertise and insights bring real-world relevance to your studies, preparing you to excel in your career.
State-of-the-Art Facilities
Benefit from access to high-performance computing resources, advanced simulation labs, and collaborative workspaces. Our facilities support a hands-on learning experience, enhancing your technical proficiency.
Careers
Careers
Engineering programmes combine a mix of fundamental science, analytical techniques and complex problem-solving projects that provide students with a wide range of valuable knowledge and skills. This puts the graduates in a good position to solve real world challenges, with a variety of techniques, making them attractive to relevant employers.
Dedicated careers support
You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the Career Zone for additional information on their services.
