Programme Structure


During the first year of the four year PhD programme students study for an MRes degree, which consists of a combination of taught courses and a research project.

The taught modules provide the student with a comprehensive background in the medical and biomedical imaging related topics necessary to success in the chosen research area. Students who have already completed a relevant Master's degree may be, at the discretion of the Programme Directors, allowed to enter directly onto the second year of the research programme.

During the second, third and fourth years of the project students conduct the research projects that form the basis of their PhD theses. Also during the second and third year students can take 'Advanced Elective Modules' selected from a range of MSc level modules to tailor and enhance their skills and interests.

MRes (Year 1)

The MRes Year consists of compulsory units and transferable skills (135 units) and further optional modules (45 units)

The MRes year must equal 180 credits in total.

Compulsory Units

Research Project (105 units)  MRes Year 1
MPHYGB25 Critical Review of Key Papers in Biomedical Imaging/Journal Club (15 Units)  Term 1

One of the following transferable skills must also be taken

MPHYG001 Research Software Engineering
with Python (15 units)
 Term 1
MPHYGB24 Programming foundations for
Medical Image Analysis (15 units)
 Term 1
MPHYG002 Research Computing with C++ (15 units)  Term 2

Recommended Optional Units (45 Units must be taken)

MPHYG886 Optics in Medicine (15 units)  Term 1
Mathematical Methods Algorithms and Implementations (15 units)  Term 1
Image Processing (15 units)
 Term 1
Machine Vision (15 units)
 Term 1
COMPGI08 Graphical Models 15 units)
 Term 1
MPHYGB07 Computer-assisted Surgery and Therapy (15 Units)
 Term 2
MPHYGB06 Information Processing in Medical Imaging (15 units)  Term 2
MPHYGB10 Medical Imaging (Non-Ionising) (15 units)  Term 2
MPHYBG11 Medical Imaging (Ionising) (15 units)  Term 2
Inverse Problems in Imaging
 Term 2
COMPGV17 Computational Modelling in Biomedical Imaging
(15 units)
 Term 2

The MRes Project

The student is allocated two supervisors with expertise in their project field. The project introduces the student to independent research and provides an opportunity for the student to explore a topic in greater depth. The project often (but not necessarily) forms the basis for the student’s PhD research.

Students will be provided with a list of available projects before enrolment. They will be required to submit their preference of projects which will then be subject to a selection process.

Advanced Electives (Year 2 and 3)

Advanced Electives are available to all students in Year 2 & 3 (MPhil & PhD) they are designed to enhance your learning and skills. Possible selections should be discussed with your supervisor. MRes and other MSc units are also available to be considered as electives. The list of available and recommended MRes units can be found here.

Advanced Electives available:

MSING010 New Technology Ventures Term 1
MEDCG001 Statistical Methods Term 1
MEDCG002 Advanced Statistical Methods Term 2
MSING009 Managing High-Technology Organisations Term 2

 Further advanced electives are due to be available in 2015/2016

PhD Project

The MRes project often (but not necessarily) forms the basis for the student’s PhD research. Like all PhD programmes, initially students are registered for the MPhil degree from year 2 and transfer to PhD status (Dependent on the submission and successful examination of a student's 'transfer report'. This report describes the research performed so far, and the work they intend to do to complete their thesis).

Additional Experience

Cancer Mini MD

June 2015 (Application process in March)

MiniMD is an exciting new two-week intensive course for non-clinical scientists, allowing them to obtain direct insight into the clinical pathway in cancer through meeting patients, seeing how clinical pathways operate and talking to clinicians caring for cancer patients. The emphasis throughout the course is on first-hand experience with access to unique clinical facilities and opportunities. Students will be sent further details nearer the application time.

Page last modified on 19 aug 14 14:31