MSc Biomedical Engineering
Please note: This page is for 2027 entry. Click here for 2026 entry.
| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time |
| Entry year | 2026 |
| Campus | Streatham Campus |
| Typical offer | 2:2 honours degree (or equivalent) in a science, engineering, or numerate discipline. |
|---|---|
Why study MSc Biomedical Engineering at Exeter?
- Combining mechanical and electronic engineering with biology and physics, you will learn to develop healthcare technologies to solve medical problems and improve health and wellbeing provisions
- Multi-disciplinary focus taught by experts from across Engineering, Physics and Astronomy, Mathematics, and Public Health and Sports Sciences.
- Gain valuable knowledge and perspectives to solve real-world issues in this growing field
- Join our vibrant postgraduate community benefiting from research-inspired teaching
Top 10 in the UK for General Engineering
£6.5million investment in our teaching labs, workshop spaces and equipment
Top 10 in the UK for our world-leading and internationally excellent Clinical Medicine research
Based on 4* + 3* research in REF 2021
1st in the UK for world-leading research in Sports Science
Research Excellence Framework 2021 based on 4* research submitted to UoA24 Sport and Exercise Sciences, Leisure and Tourism
Accreditation information
This course launches in 2025 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.
As this is a new programme, we aim to seek accreditation from the relevant professional bodies; however, this cannot be guaranteed at this stage.
Accreditation status will be updated when new information is available. If you require any further information, please contact the University directly.
Entry requirements
All applicants are considered individually on merit although we usually require a 2:2 honours degree (or equivalent) in a science, engineering 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 IELTS 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 is an interdisciplinary programme that will give you a solid grounding in all the skills and knowledge that you need for a commercial or academic career in Biomedical Engineering. The application of engineering-based solutions to medical problems is of increasing global importance to society. You will benefit from working alongside highly regarded academics from four prestigious departments, all active in global research which you will be exposed to as part of your learning.
The array of optional modules enables you to tailor your programme to your interests and career ambitions.
The modules below 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.
Please note that the module information displayed here is subject to change.
150 credits of compulsory modules, 30 credits of optional modules
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| Compulsory 1 | ||
| MSc Dissertation | 60 | |
| Advanced Finite Element Analysis | 15 | |
| Research Ethics and Methodology | 15 | |
| Orthopaedics, Degeneration and Ageing | 15 | |
| Biosensors and Wearables | 15 | |
| Musculoskeletal Biomechanics | 15 | |
| The Biophysics of Cells and Tissues | 15 | |
ECMM164: MSc Dissertation
This dissertation will give you the chance to demonstrate your knowledge, to exercise your initiative and personal responsibility, and to use the research techniques and skills you have developed throughout your degree.
You will be required to solve a research or industrially-related practical problem based on the topics learned within, but not exclusive to, the MSc programme you are registered for. The project work will lead to a major piece of work (dissertation) of approximately 15,000 words (max. 80 pages, including references and appendices) that involves project planning, analytical, experimental or empirical results and their interpretation, showing how the goals of the project have been met. You will receive a list of potential projects and will be required to express your two preferences. Alternatively, you can discuss your own dissertation ideas with the module leader / potential supervisor (academic staff) with a view to explore if they offer required technical rigour and research challenge. You will be encouraged to discuss your preferences with relevant academic staff before we allocate projects. As part of the research project, you are expected to undertake a considerable amount of self-study. There is no formal taught component in the module, apart from the writing support lectures and the suggested regular meetings with your supervisor.
ENGM003: Advanced Finite Element Analysis
Finite Element Analysis (FEA) is an important tool for mechanical engineers that is used in analysis, optimisation, and design of material and engineering components. This course will provide you with a deeper knowledge in numerical techniques ranging from FD to FEA at the frontiers of modern engineering research. This module will give you more insight how numerical techniques such as FD and FEM work and how to solve advanced problems numerically and to understand the underlying mathematical challenges of solving such problems. You will learn about the concept of finite difference and FEA and how it is derived from numerical methods, starting from FD to Galerkin FEA method. In Labs you will use MATLAB to solve numerical engineering problems e.g. heat equation, stress distribution etc.
This module aims to:
- Introduce advanced topics in finite difference and finite element methods and how to use this knowledge in analysis, design and optimization of complex engineering problems.
- Introduce the fundamental of continuum mechanics and how we use it in advanced nonlinear problems.
- Provide detailed understanding of geometric and materials nonlinearity such as contact analysis, hyper-elasticity, elasto-plasticity.
- Provide detailed knowledge of numerical techniques and how to use it to solve advanced problems.
ENGM040: Research Ethics and Methodology
This module aims to introduce you to the main principles governing engineering profession and research, to the ethical issues informed by the professional code of conduct, and to the importance of adopting an inclusive approach and of supporting equality, diversity and inclusion.
You will get an introduction to the main methods used in scientific and engineering research, including the use of AI tools, finding research articles, critical engagement, literature synthesis, and communication of the results to a wide audience.
You will be introduced to ethics, engineering profession, equality, diversity and inclusion (EDI) in engineering practice. The discussion on EDI will cover diversity in Engineering profession and ethics, inclusive cultures in engineering. These topics will be carried out via lecture, class discussions, and a case study.
You will learn project management and risk management, including the techniques required to apply efficiently project and risk management principles to a wide range of projects, including industrial and research projects. The project management topic will also include but not limited to intellectual Property Rights, types of intellectual property, management of intellectual property rights, and understanding Intellectual Property for Engineers. These topics will be delivered in a lecture with some discussions using several case studies.
The module is suitable for non-specialist students.
ENSM008: Orthopaedics, Degeneration and Ageing
This module will introduce you to the anatomy of the musculoskeletal system, the forces and motion of joints in the body, and the basic properties of biological materials such as bone and cartilage. You will then learn about how the mechanical and biological environments of the musculoskeletal system interact, and mechanisms of degeneration and ageing. In addition to the natural materials and structures of the musculoskeletal system, you will also learn about medical devices such as joint replacements, the emerging area of regenerative therapies to treat musculoskeletal conditions, and the methods and international standards used to evaluate medical devices.
The aim of this module is to equip you with a comprehensive understanding of the function of the musculoskeletal system, the processes of its degeneration over time, and the impact of ageing on orthopaedic health. The module will also introduce emerging health technologies and innovations, focusing on their application in the prevention and treatment of orthopaedic-related injuries and diseases.
ENSM009: Biosensors and Wearables
In this module, you will explore the interdisciplinary field of biosensors, focusing on their application in implantable and wearable medical devices. Key topics include the properties and design of biomaterials, biocompatibility, and the integration of biosensors for monitoring physiological parameters. You will study the principles of implantable devices, such as pacemakers, as well as wearable technologies like smartwatches and fitness trackers. Emphasis will be placed on the engineering challenges and innovations in developing safe, effective, and user-friendly devices, combining theoretical knowledge with practical insights from current research and industry practices and trends.
In this module, you will explore the interdisciplinary field of biosensors, focusing on their application in implantable and wearable medical devices. Key topics include the properties and design of biomaterials, biocompatibility, and the integration of biosensors for monitoring physiological parameters. You will study the principles of implantable devices, such as pacemakers, as well as wearable technologies like smartwatches and fitness trackers. Emphasis will be placed on the engineering challenges and innovations in developing safe, effective, and user-friendly devices, combining theoretical knowledge with practical insights from current research and industry practices and trends.
ENSM010: Musculoskeletal Biomechanics
Musculoskeletal biomechanics is the study of how bones, muscles, tissues and joints work together to support and move the body through applying principles of physics and engineering. In this module, you will be introduced to core principles and methods used in musculoskeletal biomechanics research and applied practice. You will explore experimental and computational approaches to analysing bodily motion and determining the forces required to produce it. Through lectures and practical work, you will learn best practice, including hands-on lab-based collection of experimental data via motion capture, force plates, and electromyography, and integrating them with computer-based modelling and simulation methods.
This module aims to further develop your ability to apply mechanical principles to the analysis of human movement, using the concepts introduced in year one and year two. You will develop an understanding of the use of modelling methods combining kinetic and kinematic data to improve understanding of human movement, and to estimate the loads experienced by structures of the human body, such as bones, joints, muscles, and connective tissues, during different activities and tasks.
PHY3061: The Biophysics of Cells and Tissues
The physical properties of tissues and their constituent cells and biomolecules are central to their biological functions. Physical processes are also vital to normal growth and development and diseases, ranging from arthritis to cancer, may be related to failures in these processes. This module describes the fundamental physical properties of biomolecules, cells and tissues and introduces some of the biophysical and biomechanical challenges in understanding the behaviour of normal tissues and their failures in disease.
Optional modules
| Code | Module | Credits |
|---|---|---|
| Optional 1 | ||
| Additive Manufacturing | 15 | |
| Data-Centric Engineering | 15 | |
| Intellectual Property For Engineering Innovation | 15 | |
| AI and Data Science Methods for Life and Health Sciences | 15 | |
| Mathematical Modelling in Biology and Medicine | 15 | |
ENGM001: Additive Manufacturing
This module is dedicated to additive manufacturing, focusing on parts that are fabricated through additive processes (powder or filament – metallics, polymer or composites) versus the conventional, subtractive methods. As we approach a time where resources scarcity and clean/carbon neutral manufacturing technologies are amongst the key business drivers in many engineering sectors, this module aims to introduce you to the digital manufacturing processes, materials, design and applications.
The syllabus will provide you with in-depth knowledge of additive manufacturing processes for metallics, polymers and composites, from principles of operation to fundamentals of material processing including rheology (powder and polymer melt), sintering mechanisms and models, crystallization characteristics. Properties and green credentials of the technology will also be discussed.
AIMS - intentions of the module:
ENGM010: Data-Centric Engineering
The next decade will see a step changes in data-driven technology, impacting all aspects of engineering and industry. By exploiting data being generated presents enormous engineering opportunities to transform both system design and control.
This module focuses on the logic, algorithms, and frameworks that are essential to tackle real-world data and the grand challenges of modern data-driven engineering applicable to the domains such as materials, patient-specific medicine, virtual prototyping, and sustainability.
The module will introduce the students to mathematical foundations and state-of-the-art methods in probabilistic modelling, Bayesian analysis, and probabilistic machine learning.
The module aims at providing a course in mathematical foundations and advanced methods for data-centric engineering at the frontiers of the research of interest at the University of Exeter.
ENSM034: Intellectual Property For Engineering Innovation
Intellectual creations form the basis for designing, developing, and delivering impactful technologies and innovations. Understanding and managing what, when, where, and how to protect these creations is critical and it requires a comprehensive understanding of intellectual property (IP) rights and other protection mechanisms. This module will introduce the fundamentals of intellectual property (IP) rights, core components in managing IP and their relevance to engineering, technology development and innovation. The module will deliver key concepts, frameworks, analytical methods, and practical tools for identifying and assessing the novelty of intellectual creations, exploring different protection mechanisms and IP rights, and exploiting IP for technology transfer and commercialization. The module will include analytics workshops to search and analyse IP databases for exploring existing inventions (prior art) and for analysing technology trends and competitive landscapes for informed dMTHM015: AI and Data Science Methods for Life and Health Sciences
Analysing data and quantitatively comparing mathematical models to data are crucial when using mathematics to improve our understanding of complex biological systems. Data from biology experiments and clinical recordings are diverse and often present challenges for analysis and modelling, such as high dimensionality and non-stationarity. This module will introduce you to some common kinds of data observed in biological and clinical applications such as images, time series and high dimensional sequencing data. You will be introduced to advanced methods that deal with these data, but can also be applicable in other fields, for example in climate systems and finance.
Competence in a scientific programming language (such as Matlab or Python) is highly desirable
We will introduce data and methods that arise in the above application areas but are also applicable in other fields. The content will be centred on real-world applications: for example, the analysis of motility in single cell organisms, analysis of clinical time series in neurology and neuroendocrinology as well as analysis of next generation sequencing (NGS) data.
The study of these examples will require theory in:
NSCM005: Mathematical Modelling in Biology and Medicine
This is an advanced module in mathematical modelling applied to biology and medicine that focuses on modern applications of mathematical techniques to cutting-edge research in these areas. It will introduce you to advanced topics in biochemical networks, physiology, neuroscience and biomedical data analysis. The module is run as a combination of lectures and hands-on computational modelling sessions, and may also involve laboratory visits.
This module provides you with small-group teaching across a selection of advanced topics, reflecting the research interests of the staff involved. The syllabus consists of several short courses, each taught as a self-contained set comprising 1 hour-long lectures together with 2 hours-long workshops/tutorials per week. In order to take this module, you must ensure that you have completed module MTH2003.
This is an optional module for Final Year students of MSci Natural Sciences, and is also an optional module for Final Year Mathematics, Computer Science and Physics undergraduates.
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 the University of Exeter Alumni Scholarship, a scholarship for University of Exeter alumni beginning a standalone postgraduate programme in 2026/27 with us a scholarship worth 20% of the cost of your first year tuition fees.
Terms and conditions, including deadlines, apply.
Teaching and research
Teaching and assessment
The programme is delivered through a mix of lectures, seminars, tutorials, industrial presentations, case studies, computer simulations, project work and a dissertation.
You will develop transferable skills 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.
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.
A research and practice-led culture
We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries and new technologies in seminars and in the field. Plus, you’ll become actively involved in a research project yourself.
All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will also be taught by leading industry practitioners.
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.
Biomedical Engineering is a growing field in terms of academic research, the medicine, medical device, and healthcare industries, and 3rd sector organisations such as healthcare providers like the NHS. This growth is driven by the ageing population across the globe and the medical challenges this presents through increased prevalence of non-communicable diseases such as osteoarthritis, along with the need to manage and treat new diseases. Biomedical Engineering graduates are, therefore, ideally placed to use the knowledge of healthcare related science and technology, and skills in engineering processes, problem solving, and design to work in any of these sectors.
The knowledge and skills you will gain during this MSc programme are also highly transferable to other industries, including other engineering disciplines, finance, professional services, management consultancy, and teaching.
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.
