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Physics and Engineering in Medicine: Medical Image Computing - MSc/PGDip

Course Description

Medical image computing is an exciting and rapidly growing field concerned with applying advanced computing techniques to obtain and analyse medical images and better understand, diagnose, and treat human diseases. It is a critical aspect of medical imaging - a field that continues to revolutionise modern medicine and healthcare.

Degree information

This pathway aims to equip students with the specialist skills and knowledge required to solve real-world problems in medical imaging and embark on a successful career in the rapidly growing medical imaging technology sector, working in industry, university research, or a hospital. The focus is on understanding and applying advanced computing techniques through problem-based learning, practical work, and a research project.

Students undertake modules to the value of 180 credits.

The programme consists of seven core modules (105 credits), one optional module (15 credits), and a research project (60 credits). A Postgraduate Diploma is offered.

Core modules
-Medical Imaging (Ionising)
-Magnetic Resonance Imaging & Biomedical Optics
-Ultrasound in Medicine
-Clinical Practice
-Programming Foundations of Medical Image Analysis
-Information Processing for Medical Imaging
-Image Processing

Optional modules - students choose one of the following:
-Computer-assisted Surgery and Therapy
-Computational Modelling for Biomedical Imaging

All MSc students undertake an independent research project with a substantial computing component (typically, software development drawing on real clinical data). The project is assessed by a written report of 10,000 words, a poster and an oral presentation.

Teaching and learning
The programme is delivered through a combination of lectures, demonstrations, hands-on practical sessions, hospital visits, and a research project. Lecturers are drawn from UCL and from London teaching hospitals including UCL, St. Bartholomew's, and the Royal Free Hospital. Assessment is through examinations, coursework assignments, and the project dissertation.


The has an excellent track record for producing skilled graduates who go on to careers in universities, companies and hospitals around the world.

Top career destinations for this degree:
-Research Assistant, University of Central Greece
-Medical Image Computing PhD, UCL
-Research Fellow, Helmholtz Institute.
-MPhil in Orthodontics, University of Cambridge

Postgraduate study on this pathway offers the chance to develop highly transferable engineering and computing skills combined with specialist knowledge that are highly sought after by employers in the medical technology sector. In particular, the emphasis on real-world problem-solving equips graduates with the skills and confidence to take up positions within a wide range of roles in leading organisations. In addition, graduates gain skills in project and time management, effective communication, and teamwork, which provide an excellent foundation for a productive career in industry, healthcare organisations, or academia.

Why study this degree at UCL?

UCL is widely recognised as an internationally leading academic and clinical centre for medical imaging and medical image computing, with some of the largest research activitiy in the world.

Much of the material in this programme is taught by leading experts in the field and students will be exposed to the latest technologies developed in their research. Students therefore have a unique opportunity to become familiar with state-of-the-art technologies for understanding, detecting, diagnosing, treating, and monitoring major diseases, such as cancer and dementia, as well as many exciting new clinical applications of medical imaging.

Visit the Physics and Engineering in Medicine: Medical Image Computing - MSc/PGDip page on the University College London website for more details!

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Student Profiles

Entry Requirements

A minimum of an upper-second class UK Bachelor’s degree from a UK university or an overseas qualification of an equivalent standard in physics, engineering, computer science, mathematics, or other closely related discipline. Workplace knowledge and expertise are also considered. Applicants with a lower than upper-second class degree may be invited for a short online interview with programme tutors as part of their application process.

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