Congratulations on your offer to study Healthcare Technologies in the Faculty of Life Sciences & Medicine at King’s College London. We're thrilled to welcome you and look forward to you joining our community.

Explore the content below for useful tips and information to help you prepare for your studies and get a feel for your course. There are so many ways you can keep connected over the next few months including chatting to both staff and students and attending events.

You will also find any upcoming events listed below, so please do check back for updates.

• Explore our content below to find out more about Healthcare Technologies MSc
• Chat 1-2-1 with one of our current students on unibuddy.
• Have a question about our course? Chat to our Head of Education Professor Kawal Rhode 
• Take a look at some further information below for offer holders such as our Accommodation guide and pre-sessional English language programmes.

Watch a recording of the Careers and Student Experience Event for postgraduate offer holders. Hear from the panel consisting of staff from the faculty as well as current students. This event took place on 3 June 2024.

Please note: Captions for this video have been auto-generated and will be reviewed soon.

Discover more about our School & Research

Our Mission

To engineer better health for patients in the UK and worldwide through research and teaching excellence. We push the limits of technical innovation by breaking down conventional discipline boundaries. Located within a hospital environment, we generate tangible clinical and commercial translation through our stimulating collaborations to achieve the unexpected.

Read more about our School of Biomedical Engineering & Imaging and about our Research & Impact.

Required modules

You are required to take:

• Critical Skills for Translational Healthcare Technologies (30 credits)
• Group Research Project in Healthcare Technologies (MSc 15 credits) (MRes 30 credits)
• Extended Individual Research Project in Healthcare Technologies (60 credits)

Optional modules

Students take credits (MSc 75 credits; MRes 60 credits) from a range of optional modules. It is recommended to take modules in particular combinations related to specialist themes.

MEDICAL ARTIFICIAL INTELLIGENCE

• Scientific Programming (15 credits)
• Machine Learning for Healthcare Applications (15 credits)
• Advanced Machine Learning (15 credits)
• Medical Imaging in Clinical Applications (15 credits)
• Medical Image Computing (15 credits)

MEDICAL IMAGING

• Healthcare software development (15 credits)
• Imaging in Healthcare (15 credits)
• MedTech: Idea to Impact (15 credits)
• Practical Medical Imaging (15 credits)
• Medical Imaging in Clinical Applications (15 credits)

MEDICAL ROBOTICS AND DEVICES

• Medical Robotics: Theory and Applications (15 credits)
• Applied Medical Robotics (15 credits)
• Advanced Medical Robotics (15 credits)
• Image Guided Navigation for Robotics (15 credits)
• Surgical and Interventional Technology (15 credits)

IMAGING CHEMISTRY

• Biology for Healthcare Technologies (15 credits)
• Molecular Imaging and Therapy (15 credits)
• Medical Imaging in Clinical Applications (15 credits)

NEUROSCIENCE AND NEUROTECHNOLOGY

• Introduction to Neuroimaging (15 credits)
• Introduction to Neuroscience (15 credits)
• Engineering Principles for Bionics & Neurotechnology (15 credits)
• Clinical Applications of Neurotechnology (15 credits)
• Quality Management Systems and Regulations (15 credits)