Overview

Developments throughout engineering are transforming modern healthcare. The growth of artificial intelligence, the adoption of surgical robotics, new neurotechnology, parallel developments in radiopharmaceutical chemistry and molecular imaging, and the availability of advanced imaging and big data have opened up several new domains of knowledge which will be key to further technological advances.

Our Healthcare Technologies MSc/MRes will train students in healthcare engineering and build their clinical and industrial awareness of problems and solutions for technology in modern global healthcare.

Students taking a sufficient number of modules within a pathway may append the relevant pathway title to their official degree. To use the pathway name in their degree title, MSc students must take a minimum of four of the pathway-specific optional modules. MRes students must take three of the pathway-specific optional modules.

Applications from students on an undergraduate Medical or Dental programme looking to intercalate are welcome.

Key benefits

  • Accredited by The Institute of Engineering and Technology. Accreditation entitles the degree holder to Chartered Engineer status when presented with an accredited undergraduate degree.
  • Will fully equip students to take advantage of exciting new developments and maximise their potential to transform healthcare.
  • Opportunity for all students to link with clinical, industrial and radiopharmaceutical partners.
  • Allow students to develop advanced technical competencies that have clinical and commercial relevance.
  • On completion of their studies, students will be well-prepared to take control of their own career trajectories and to begin to lead new developments in these technological advances.
  • Four pathways available: Artificial Intelligence, Medical Imaging, Neurotechnology or Robotics
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The course offers excellent opportunities to engage in insightful modules, enriching students to become capable researchers with a unique grasp of the field of medical technologies.
AlaviStudent, Healthcare Technologies MSc

Course essentials

Our programme is designed to provide students with an advanced and comprehensive understanding of the engineering challenges facing modern, global healthcare. The programme will enable students to take advantage of the breadth of knowledge at our institution, exposing them to the most recent and most exciting developments in medical and surgical intervention and to tailor their programme toward their own career ambitions.

Our programme's modules will introduce students to the most important concepts and techniques that underpin the most recent advances in healthcare technology such as machine learning, medical devices & robotics, state-of-the-art medical imaging and smart molecules. Substantial components of project work will enable them to test and understand the theory and applications studied alongside internationally recognised engineers, clinicians and industrial partners.

Healthcare Technologies - Medical Imaging

Students on the medical imaging pathway will learn about the core technology behind devices used to image inside the human body. This will include fundamental knowledge on image generation from modalities such as MRI, x-ray CT, ultrasound and PET. Students will also learn how artificial intelligence is being used to enhance our ability to extract information from these imaging devices and how this is used everyday in the clinical environment.

Students will have the opportunity to make use of our imaging facilities including our 7 Tesla MRI scanner and our whole-body PET systems and to develop the technology that will one day support future developments in this area.

Healthcare Technologies - Artificial Intelligence

Students on the artificial intelligence pathway will learn about the challenges of developing robust, unbiased technologies that will transform the face of healthcare for all. Students will be supported by researchers seeking innovative software engineering and AI solutions to these problems. The use of artificial intelligence in healthcare attempts to integrate image analysis, biometrics, genetics, and clinical records to achieve a complete pipeline from pre-clinical research to clinical translation, while tackling the challenges of bias, to deliver precision healthcare solutions that are fair for all.

Students will have access to state-of-the-art computing environments and world class training in software engineering and data science through the London Centre for Healthcare engineering and AI centre for value based healthcare.

Healthcare Technologies - Robotics

Student on the Robotics pathway will be equipped with a rigorous and hands-on foundation in the fundamentals and frontiers of medical robotics. Through a carefully curated set of modules students gain both theoretical depth and practical experience. The curriculum introduces classical and modern kinematic approaches, alongside programming and simulation. Students then advance to the physical design and construction of their own manipulators, deepen their understanding of dynamics and control, and learn to develop image-guided robotic systems using state-of-the-art research software. This progression equips students with an integrated skillset highly relevant to modern surgical intervention and personalised healthcare delivery.

During their projects, students will benefit from access to cutting-edge infrastructure—including surgical robotics platforms, real-time imaging facilities, and state-of-the-art labs—designed to support interdisciplinary innovation.

Healthcare Technologies - Neurotechnology

Students on the neurotechnology pathway will learn the fundamentals of engineering and imaging neuroscience for neurotechnology, and explore a range of clinical applications and wearable devices. Students interested in entrepreneurship but wishing to join the Neurotechnology pathway may combine a minimum of three neurotechnology optional modules with either of these two Entrepreneurship optional modules: MedTech: Idea to Impact (term 1) or Quality management and regulation in healthcare technology (term 2).

Students will benefit from a unique environment combining experts from the world renowned Institute of Psychiatry Psychology and Neuroscience, the regional centre for Neurosciences at King's College Hospital, and expertise in medtech entrepreneurship at the London Institute for Healthcare Engineering.

Key Information

Course type:

Master's

Delivery mode:

In person

Study mode:

Full time

Duration:

One year

Credit value:

MSc 180 credits, MRes 180 Credits

Application status:

Open

Start date:

September 2026

Administrative bodies

Regulating body

Application closing date guidance

Base campuses

Waterloo - students walking

Waterloo Campus

Our Waterloo campus is home to the Florence Nightingale Faculty Nursing & Midwifery, and a vibrant hub for health, social science, and law students. Located moments from the iconic landmarks of South Bank and just a short walk to the Stand campus.

St Thomas's campus looking out towards the river and the London Eye.

St Thomas’ Campus

St Thomas’ Campus feels inspiring—right on the Thames with stunning views of Parliament. It’s a hub for healthcare and clinical training, offering hands-on experience in a top hospital setting, all in the heart of central London.