University of Surrey
Surrey, England, UK
12mths full-time; 60mths part-time
In addition to our mix of lectures, laboratories, clinical demonstrations and hospital visits, our MSc will develop you as a professional, enhancing your ability to take on new challenges with confidence. Our graduates often say, “I can do things now that I did not think I could do, before the MSc!”
Programme overview
The term ‘medical imaging’ may invoke images of brain slices acquired from modern scanners. However, the breadth of this subject is far wider. Applications include the creation of 3D graphical models for facial reconstruction from scan data, the visualisation of complex vascular (blood vessel) structures to assist keyhole surgical procedures, techniques for creating patient-specific 3D modelling of human organ shapes and image-based methods designed to detect various pathologies and disease states in humans.
Medical imaging is a rapidly-growing discipline within the healthcare sector, involving clinicians, physicists, computer scientists and those in IT industries. This is fuelled by the rapid advancement of 3D medical imaging systems over the last few decades, matched by an exponential rise in computing power, which has paved the way for new methods of acquisition, reconstruction, processing and display of digital medical image data with unprecedented speed, resolution and contrast: a trend which can only continue.
Why not read about past and present student experiences of our electronic engineering programmes, including Christopher Lord, Christos Merkouris and Prashant Butani?
Module overview
In common with many MSc programmes, Medical Imaging is taught over twelve months and split over two semesters. A dissertation project is carried out over the summer (project) period and is concluded at the end of the academic year.
Compulsory modules:
- Image Processing and Vision
- Radiation Physics
- Professional Skills for Clinical Science and Engineering
- Introduction to Biology and Radiation Biology
- Computer Vision and Pattern Recognition
- Artificial Intelligence and AI Programming
- Diagnostic Applications of Ionising Radiation
- Non-Ionising Radiation Imaging
Entry requirements
An honours degree in electronic engineering, mathematics, computing or physical sciences. Our minimum entry level is a 2.2 from a good UK university, or overseas equivalent. Relevant industrial experience will also be considered.
How to apply
For more information on the course and how to apply please visit the course website.
General enquiries:
+44 (0)1483 681 681
Admissions enquiries:
+44 (0)1483 682 222
admissions@surrey.ac.uk