12 monthsProgramme duration
42,900 GBPTuition Fee/year
3Scholarships
SepStarting Month
Programme overview
Main Subject
Biological Sciences
Degree
MSc
Study Level
Master's
Study Mode
On Campus
Learn how to select and apply mathematical models and techniques to biological data on this Master's course.
You'll discover how computational and theoretical modelling is essential to our understanding of how organisms function and how diseases progress.
You'll also build your familiarity with machine learning and its applications in biomedical engineering research.
Through a series of modules and an extended research project, you'll explore how developments in computational capabilities can offer us more advanced insights into a range of biomedical engineering problems.
Regular seminars and workshops with guest speakers from different bioengineering specialisms will also provide you with opportunities to broaden your understanding of current research in the field.
Teaching is shared across our South Kensington and White City campuses. This includes the Sir Michael Uren Biomedical Engineering Hub, our new centre of MedTech innovation.
You'll discover how computational and theoretical modelling is essential to our understanding of how organisms function and how diseases progress.
You'll also build your familiarity with machine learning and its applications in biomedical engineering research.
Through a series of modules and an extended research project, you'll explore how developments in computational capabilities can offer us more advanced insights into a range of biomedical engineering problems.
Regular seminars and workshops with guest speakers from different bioengineering specialisms will also provide you with opportunities to broaden your understanding of current research in the field.
Teaching is shared across our South Kensington and White City campuses. This includes the Sir Michael Uren Biomedical Engineering Hub, our new centre of MedTech innovation.
Programme overview
Main Subject
Biological Sciences
Degree
MSc
Study Level
Master's
Study Mode
On Campus
Learn how to select and apply mathematical models and techniques to biological data on this Master's course.
You'll discover how computational and theoretical modelling is essential to our understanding of how organisms function and how diseases progress.
You'll also build your familiarity with machine learning and its applications in biomedical engineering research.
Through a series of modules and an extended research project, you'll explore how developments in computational capabilities can offer us more advanced insights into a range of biomedical engineering problems.
Regular seminars and workshops with guest speakers from different bioengineering specialisms will also provide you with opportunities to broaden your understanding of current research in the field.
Teaching is shared across our South Kensington and White City campuses. This includes the Sir Michael Uren Biomedical Engineering Hub, our new centre of MedTech innovation.
You'll discover how computational and theoretical modelling is essential to our understanding of how organisms function and how diseases progress.
You'll also build your familiarity with machine learning and its applications in biomedical engineering research.
Through a series of modules and an extended research project, you'll explore how developments in computational capabilities can offer us more advanced insights into a range of biomedical engineering problems.
Regular seminars and workshops with guest speakers from different bioengineering specialisms will also provide you with opportunities to broaden your understanding of current research in the field.
Teaching is shared across our South Kensington and White City campuses. This includes the Sir Michael Uren Biomedical Engineering Hub, our new centre of MedTech innovation.
Admission Requirements
185+
6.5+
3.3+
62+
92+
115+
2:1 in an Engineering, Physical Sciences or Mathematical subject.
This course requires a strong maths competency and successful applicants will typically have scored the equivalent of a 2:1 or above in maths topics during their undergraduate degree.
Applicants should demonstrate a strong mathematical background and prior programming experience.
Students from a Medical or Life Sciences background may wish to consider our MSc Engineering for Biomedicine.
1 Year
Sep
Tuition fees
Domestic
18,500 GBP
International
42,900 GBP
Scholarships
Value
$20000
Deadline
5 Feb 2027
Imperial College London - Chevening-Bseisu Scholarship
Imperial College London - Chevening-Bseisu Scholarship
Master's
Value
100% tuition fee waiver
Deadline
2 Apr 2027
Value
100% tuition fee waiver
Deadline
21 May 2027
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