Sensor Biomedical Engineering is the fastest growing engineering discipline with prospects for employment in industry and research. Our Masters course has been running since 1991, and will provide you with technical knowledge, expertise and transferable skills in this exciting area. The courses have been designed with employer needs in mind and we offer opportunities to carry out research projects in industry.

As befits a new area, many of our applicants come from other, traditional engineering backgrounds such as Mechanical Engineering and Electrical and Electronic Engineering.

All streams are modular, consisting of a core and options. The core material is largely common between the streams, but the options differ. It is necessary for applicants to choose the most suitable stream at the time of applying. All four streams lead to the award of the MSc in Biomedical Engineering and can be studied on a full-time basis.

The Department offers an accredited MSc with four separate streams:

Biomechanics and mechanobiology

Hepatic stellate cell - credit to Dariusz Lachowski This stream focusses on bioengineering problems related to major diseases such as cardiovascular disease, glaucoma and bone and joint disease (osteoarthritis, osteoporosis).

These are major causes of death and of loss of quality of life, both in the UK and internationally, and the new course aims to prepare engineers for a career in industry and research in these rapidly growing key areas.

Course structure

C=core element. S=specialist element.

Compulsory courses

  • BE9-MSPHYS Systems physiology (C)
  • BE9-MSTDA Statistics and data analysis (C)
  • BE9-MBIMG Biomedical imaging (C)
  • BE9-MJCLUB Journal club (C)
  • BE9-MMDC Medical Device Certification (C)
  • BE4-MBMX Biomechanics (C+S)

Option modules (at least four must be chosen)

  • MSE315 Biomaterials (S)
  • BE9-MBMIME Biomimetics (S)
  • BE9-MCBMX Cellular biomechanics (S)
  • BE9-MOBMX Orthopaedic biomechanics (S)
  • BE3-MHASP Hearing and speech processing (S)
  • BE9-MHNCL Human neuromechanical control and learning (S)
  • BE3-HPFM Physiological fluid mechanics (S)
  • BE9-MHEDM Health economics and decision making (S)
  • BE9-MITR Introduction to Robotics (S)

Project

Find out what type of projects you could undertake.

Biomaterials and tissue engineering

Biomaterials and tissue engineering The Biomaterials and Tissue Engineering stream is offered jointly with the Department of Materials and focuses on the design and synthesis of new materials that will be used as implants or prostheses.

Key to implant development is the understanding of how the material design affects biological response. An example is total joint replacement: understanding materials selection and properties and the advantages and disadvantages of their use and long term effects.

Another example is the design of temporary templates (scaffolds) that can act as guides for tissue repair and can signal stem cells depending on their surface chemistry and topography. Depending on their design, materials can be degradable, can stimulate tissue growth at the cellular level and can release drugs at controlled rates.

The design of the material is very specific to the tissue that is being repaired or the drug being delivered. Techniques for imaging the cell-material interactions are also important.

Course structure

C=core element, S=specialist element.

Compulsory modules

  • MSE315 Biomaterials (S)
  • MSE418 Advanced tissue engineering (S)
  • MSE417 Advanced biomaterials (S)
  • BE9-MSPHYS Systems physiology (C)
  • BE9-MSTDA Statistics and data analysis (C)
  • BE9-MBIMG Biomedical imaging (C)
  • BE9-MMDC Medical Device Certification (C)
  • BE9-MJCLUB Journal club (C)

Option modules (at least two must be chosen)

  • BE9-MBMX Biomechanics (S)
  • BE9-MBMIME Biomimetics (S)
  • BE9-MAMI Advanced medical imaging (S)
  • BE3-HIPR Image processing (S)
  • BE9-MHEDM Health economics and decision making (S)
  • BE3-MHASP Hearing and speech processing (S)
  • BE9-MOBMX Orthopaedic biomechanics (S)
  • BE9-MAPMDA Advanced physiological monitoring and data analysis (S)
  • BE9-MITR Introduction to Robotics (S)

Project

Find out what type of projects you could undertake.

Medical physics and imaging

Medical imaging The Medical Physics and Imaging stream replaces the MSc in Engineering and Physical Science in Medicine that has been successfully offered by the Department since 1991.

The Medical Physics stream trains graduates in the physical understanding required for healthcare and medical research, focusing on clinical imaging systems (especially MRI, ultrasound, x-ray and optical techniques), as well as the signal and image processing methods needed for design and optimal use of such systems in diagnosis and research.

Course structure

C=core element, S=specialist element.

Compulsory modules

  • BE9-MSPHYS Systems physiology (C)
  • BE9-MSTDA Statistics and data analysis (C)
  • BE9-MAPMDA Advanced physiological monitoring and data anaysis (S)
  • BE9-MBIMG Biomedical imaging (C)
  • BE9-MJCLUB Journal club (C)
  • BE9-MMDC Medical Device Certification (C)

Option modules (at least four must be chosen)

At least two from:

  • BE9-MAMI Advanced Medical Imaging (S)
  • BE9-MRADP Radiotherapy and radiobiology (S)
  • BE9-MNMED Nuclear medicine (S)
  • BE3-HIPR Image processing (S)

and the rest from:

  • BE9-MBMIME Biomimetics (S)
  • BE9-MCNS Computational neuroscience (mutually exclusive with BE9-MHEDM) (S)
  • BE4-MBMX Biomechanics (S)
  • MSE315 Biomaterials (S)
  • BE9-MHEDM Health economics and decision making (mutually exclusive with BE4-MCNS) (S)
  • BE3-MHASP Hearing and speech processing (S)
  • BE9-MITR Introduction to Robotics (S)

Project

Find out what type of projects you could undertake.

Neurotechnology

Neurotechnology This course covers the development of new technology for the investigation of brain function with focus on the application of this knowledge to improve technology of wider benefit to society.

For example the development of neuroprosthetic devices, new neuroimaging approaches, central nervous system drug discovery and robotic assistive devices for helping those with central nervous system disorders. Neurotechnology is in a rapid phase of growth internationally and is of strategic importance for the medical device and pharmaceutical industries.

Course structure

C=core element, S=specialist element.

Compulsory modules

  • BE9-MSPHYS Systems physiology (C)
  • BE9-MSTDA Statistics and data analysis (C)
  • BE9-MBIMG Biomedical imaging (C)
  • BE9-MJCLUB Journal club (C)
  • BE9-MMDC Medical Device Certification (C)
  • BE4-MCNS Computational neuroscience (S)
  • BE9-MBMI Brain Machine Interfaces (S)

Option modules (at least three must be chosen)

  • BE9-MBMIME Biomimetics (S)
  • BE9-MHNCL Human neuromechanical control and learning (S)
  • BE9-MMLNC Machine learning and neural computation (S)
  • BE9-MAMI Advanced medical imaging (S)
  • BE9-MAPMDA Advanced physiological monitoring and data analysis (S)
  • BE3-MHASP Hearing and speech processing (S)
  • BE3-HIPR Image processing (S)
  • BE9-MITR Introduction to Robotics (S)

For additional credit

  • BE9-MINS Introduction to Neuroscience

Students are strongly encouraged to take this module to supplement their learning. The module will be assessed as pass/fail.

Project

Find out what type of projects you could undertake.

Additional programme information

MSc stream CEng academic accreditation status

 Accredited by the Institution of Materials, Minerals and Mining (IOM3) , the Institution of Physics and Engineering in Medicine (IEM), the Institution of Engineering and Technology (IET)  and the Institution of Mechanical Engineers (IMechE) 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.
MSc streamAccreditation status
Biomaterials and Tissue Engineering IPEM 2012-18
IMechE 2013-19
IOM3 2013-17
Biomechanics and Mechanobiology IPEM 2012-18
IMechE 2013-19
Medical Physics and Imaging IPEM 2012-18
IET 2012-18
IMechE 2013-19

Neurotechnology

IPEM 2012-18
IET 2012-18
IMechE 2013-19
MSc stream CEng academic accreditation status

Meet the admissions tutor

Would you like to meet the admissions tutor to learn more about the MSc Biomedical Engineering and/or the MRes Bioengineering programmes? 

The admissions tutor reserves Wednesday afternoons for meeting potential applicants and offer holders. If you are able to get to South Kensington then a departmental tour can be included when your visit. If you are not able to get to South Kensington then a Skype/Facetime meeting can be arranged. Please contact be.mscadmissions@imperial.ac.uk to make the arrangements.

Course information

The course consists of a set of core (compulsory) modules, plus a number of optional modules.

Duration: One calendar year, starting in October.

Formal Tuition: lectures and experimental or computing sessions, normally for 4 days per week during the 3 academic terms. Initial choice of option modules is made during the Autumn term. The first set of exams is held in January (beginning of Spring Term) and the second set of exams in late April and May (beginning and during Summer Term).

Private study and project work: One day per week during the 3 academic terms.

Main project: Choice of main project is made during the Autumn Term and work starts part-time in January but becomes full-time from May to September.

Terms are set as follows:

  • Autumn Term: October to December (Christmas)
  • Spring Term: January to end of March
  • Summer Term: April to end of June

Specific Term Dates can be found on the Imperial College website.

Assessment

The course is assessed by: (a) written examinations, cove ring each of the taught modules, (b) coursework completed during the first two terms and (c) the major project and the dissertation presented at the end of September. To be awarded an MSc degree, students have to achieve pass marks for the examination, coursework and project/dissertation. Merit grades, and distinctions are awarded for work of very high quality in all three components of the course. Prizes are awarded annually to the best student in the class and for the best individual project.

Entry requirements

The minimum requirement is a degree equivalent to a Upper Second Class Honours in engineering, physical science or mathematics.

Although applicants will typically have a background in engineering or physical science, the programme is potentially open to those from life sciences or medicine, provided they also have proven mathematics ability. This means that applicants should have achieved at least a grade A in A level Mathematics (or equivalent) and the degree programme included some mathematics. If your first degree is not in an engineering subject, we require that you give details of any mathematical component of your degree study and/or project work in your application form.

Please state clearly in your application which stream(s) you are interested in.

The prerequisites below are not exhaustive but are indicative of the knowledge, understanding and skills required for particular streams.

Applicants for the Biomechanics stream are expected to have studied Mechanics as part of their undergraduate degree.

Applicants for the Neurotechnology stream:

  1. Should have previous experience of programming in MatLab or an equivalent mathematical package, or have the ability to quickly become proficient in a new programming language.

  2. Should have knowledge and understanding of the following mathematical concepts at a level higher than a pre-university Mathematics qualification e.g. higher than A-level:
  • Linear Algebra in 2+ dimensions (including eigenvalues, eigenvectors, normal vector to a plane, etc…)
  • Function differentiation and the concept of a gradient (including polynomials, exponentials, the chain and product rules, gradients etc…)
  • Basic probability theory (including mean, variance, correlation, Gaussian distribution, binomial distribution, Bayes theorem, etc…)

Where applicants are unsure about which stream to select, guidance can be given by the Course Coordinator. Should you discover that your mathematics background is not suitable for the MSc programme, it may be suitable for one the MRes programmes.

The deadline for MSc applications is the 1 August. Applications up to the end of August may still be considered as we might have late withdrawals.

It is perfectly acceptable to apply before you know your degree classification. If that is the case, then please ask at least one of your referees to predict your degree result and provide a transcript of the completed course grades for your degree up to the time you apply.