| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time |
| Entry year | September 2025 |
| 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 machine learning, numerical methods, optimisation, and high-performance computing, preparing you to tackle complex engineering challenges in the modern data-centric 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 10 in the UK for General Engineering
10th in the Complete University Guide 2025 and 8th in The Times and The Sunday Times Good University Guide 2025
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 10 in the UK for General Engineering
10th in the Complete University Guide 2025 and 8th in The Times and The Sunday Times Good University Guide 2025
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
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.
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 B3. Please visit our English language requirements page to view the required test scores and equivalencies from your country.
Course content
This MSc is a unique and comprehensive programme designed to equip you with advanced knowledge and skills at the crucial intersection of engineering and data science. Whether you're an engineer looking to deepen your data science expertise or a data scientist eager to tackle engineering challenges, this programme is tailored for you.
By integrating your proficiency in data and computational sciences, the programme aims to empower you to solve complex engineering problems and manage large-scale projects efficiently. Our curriculum is crafted to enhance your understanding of numerical methods, computational science, machine learning, and optimisation, leveraging high-performance computing resources. With a strong emphasis on engineering design and development, you will gain a cutting-edge education that positions you to spearhead innovations in modern engineering.
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.
165 credits of compulsory modules, 15 credits of optional modules.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| ECMM164 | MSc Dissertation | 60 |
| ECMM443 | Introduction to Data Science | 15 |
| ECMM445 | Learning from Data | 15 |
| ECMM461 | High-Performance Computing | 15 |
| ENGM003 | Advanced Finite Element Analysis | 15 |
| ENGM010 | Data-Centric Engineering | 15 |
| ENSM006 | Applied Computational/Data Science Project | 15 |
| ENSM007 | Reduced Order Modelling and Model Discovery | 15 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| ECMM148 | Advanced CFD | 15 |
| ECMM409 | Nature Inspired Computation | 15 |
| ECMM422 | Machine Learning | 15 |
Fees
2025/26 entry
UK fees per year:
£14,300 full-time
International fees per year:
£30,300 full-time
Scholarships
The University of Exeter has many different scholarships available to support your education, including £5 million in scholarships for international students applying to study with us in the 2025/26 academic year, such as our Exeter Excellence Scholarships*.
For more information on scholarships and other financial support, please visit our scholarships and bursaries page.
*Terms and conditions apply. See online 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 Data Centric 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 Data Centric 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
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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.
