Warwick School of Engineering has a unique systems approach to biomedical research and teaching. Our MSc in Biomedical Engineering delivers advanced modules developed across disciplines incorporating biomedical signal processing, medical imaging, predictive modelling, medical device design, electronics, communication, software, hardware, systems thinking and machine intelligence.
In addition you will be assigned an in-depth individual project, which will allow you to work closely with an academic on state-of-the-art biomedical engineering research and innovation, often linked with industry, and with cutting-edge areas of application across the biomedical field.
This course prepares students for careers in advanced biomedical engineering. This includes biomedical engineering research institutions, medical device regulators, and clearly hospitals. This includes research into biomedical systems and devices, their manufacture, overseeing medical device clinical trails, purchasing and maintenance.
Watch the video above to hear about the course from academic staff and students.
Warwick has a unique systems approach to research and teaching and so modules are developed across disciplines in parallel to our research.
The MSc degree (totalling 180 credits) comprises:
- Eight taught modules (15 credits each) - 4 core and 4 selected on arrival.
- Research project (60 credits)
- Research and Professional Skills in Biomedical and Clinical Engineering (ES97CLink opens in a new window)
- Biomedical Imaging & Medical Devices (ES97DLink opens in a new window)
- Medical Device: Design, Maintenance & Assessment (ES97FLink opens in a new window)
- Biomedical Systems Modelling (ES4A4Link opens in a new window)
Previously a selection of the following options have been offered:
- Biomechanics (ES97ELink opens in a new window)
- Biomedical Signal Processing (ES97HLink opens in a new window)
- Systems Modelling and Control (ES3C8Link opens in a new window)
- Affective Computing (ES4E9Link opens in a new window)
- Signal Processing (ES3C5Link opens in a new window)
- Computational Intelligence in Biomedical Engineering
- Biomaterials, Tissue Engineering and Regenerative Medicine
- Computational Synthetic and Systems Biology
*Optional module lists are subject to change each year to keep the student learning experience current and up to date. We recommend that you check this webpage again in future for the most up-to-date information.
Part of the course credit comprises a substantial project appropriate to the course of study. This entails an in-depth experimental, theoretical or computational investigation of a topic chosen by the student in conjunction with an academic supervisor. The project is a piece of original research or innovative design, providing ideal training and preparation for industrial/clinical R&D or a PhD.
Please note that the detailed module information available via the hyperlink is applicable for the current academic year (2022-23).
Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our central website before you apply. Please read our terms and conditions to find out more.
How to apply
In order to come to Warwick you need to hold an unconditional offer. All applicants must satisfy the general postgraduate admissions requirements and also those of the course which they wish to pursue.
- A minimum 2:i undergraduate UK Honours degree or equivalent international qualification, in an engineering, physical sciences or mathematical subject
- You can see how your current degree score or GPA equates to the British system on the International Office's equivalent scores tableLink opens in a new window.
- We are willing to consider applications from students with lower qualifications on a case-by-case basis, particularly when the applicant can evidence relevant employment, practical experience or strong performance in undergraduate modules related to their proposed postgraduate course of study
- To ensure you have the essential foundations for the course, and depending on your overall academic profile, we may require you to take a mathematical skills test
- Two academic references. You should nominate referees who can provide an informed view of your academic ability and suitability for your chosen programme of study.
- English Language Qualification: If your first language is not English you will be expected to obtain one of the following recognised English Language qualifications:
- IELTS (Academic): Overall score of 6.5 with no component less than 6.0
- TOEFL (iBT): Overall score of 92 with minimum components; Reading 22, Listening 21, Speaking 23, Writing 21
- Other tests are accepted, click hereLink opens in a new window for details of Band A scores.
How to apply
Applications for 2023 entry will open in October 2022. More information about the application process is available on the University websiteLink opens in a new window.
Department: School of Engineering
Type of course: Postgraduate Taught
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.
The accredited MSc will meet, in part, the exemplifying academic benchmark requirements for registration as a Chartered Engineer. Accredited MSc graduates who also have a BEng (Hons) accredited for CEng will be able to show that they have satisfied the educational base for CEng registration.
It should be noted that graduates from an accredited MSc programme that do not also have an appropriately accredited Honours degree, will not be regarded as having the exemplifying qualifications for professional registration as a Chartered Engineer with the Engineering Council; and will need to have their qualifications individually assessed through the Individual Case Procedure if they wish to progress to CEng.
Please note that the IMechE are scheduled to review our Engineering programmes during 2022 as part of the standard accreditation process.
Fees & funding
There are two main costs for students undertaking postgraduate study - academic fees and living expenses.
Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. For details of the fees and how to pay, please review the Warwick Student Finance pagesLink opens in a new window - Engineering are 'Standard Course Fees Band 2.
As well as tuition fees, students should budget for accommodation, food, books and other general expenditure such as clothes or leisure. Living costs will depend upon your lifestyle and spending patterns.
International students must be able to prove they have the necessary funds to cover these expenses. For more information on all costs see living expenses.
The School of Engineering offer scholarshipsLink opens in a new window throughout the year, check the page regularly for the latest funding opportunities.
- Find out more at our Virtual Open Day
- Contact the Course Coordinator Professor James and Engineering Admissions Team.
- Application Enquiries contact the Postgraduate Admissions Team.
- Find out more about Postgraduate Engineering at Warwick.
- Telephone: +44 (0) 24 7652 2046 or +44 (0) 24 7652 4826
School of Engineering
University of Warwick
Teaching is underpinned by research activities in biomechanics, biomaterials, systems biology and medicine, synthetic biology, computational intelligence in biomedical engineering, neural engineering, medical imaging, biomedical signal processing, healthcare technologies, telemedicine, medical sensors and diagnostics, and many other topics in biomedical engineering and biomedical science. Activities within the School or activities in which the School is heavily involved include those listed below:
- · Applied Biomedical Signal Processing and Intelligent eHealth LabLink opens in a new window
- · Biomedical and Biological Systems LaboratoryLink opens in a new window
- · Trace Metals in Medicine LaboratoryLink opens in a new window
- · NanoBioengineering LabLink opens in a new window
- · Gait LabLink opens in a new window
- · Stochastic and Complex Systems LabLink opens in a new window
- · The Warwick Centre for Integrative Synthetic BiologyLink opens in a new window
- Innovative Modelling for Pharmacological Advances through Collaborative Training (IMPACT)Link opens in a new window
A recent example of cutting-edge research within the biomedical group is the diagnosis of low blood sugar levels using AI deep neural network techniques. The advantage of this technique is that the measurement is taken using a non-invasive wearable device rather than analysing blood taken from a finger prick. This innovation came from the Applied Biomedical Signal Processing and Intelligent eHealth lab, led by Dr Leandro Pecchia.
“Fingerpricks are never pleasant and in some circumstances are particularly cumbersome… our innovation consisted in using artificial intelligence for [automatically] detecting hypoglycemia via few ECG beats. This is relevant because ECG can be detected in any circumstance, including sleeping." Dr Leandro Pecchia