Find out more about our compulsory units and other additional optional modules.
The MRes Programme consists of a research project (105 credits) and 5 taught modules (75 credits).Ìý The choices of the taught modules are tailored to each student’s background and project needs.ÌýWe require that by the end of the MRes period, students have expertise in Medical Imaging, Research Computing and Artificial Intelligence. The choice of modules must enable this objective.Ìý
Compulsory Modules
- Research projectÌý(Term 1,2&3) 105 Credits
Research Project in Biomedical & Medical ImagingÌýMPHY0024Ìý
Every student under our CDT has the opportunity to chooseÌýa unique research project which aligns to both a methodological imaging and clinical theme.Ìý
Each project we accept is chosen for its translational potential, close clinical relevance and associated areas of expertise from the primary supervisors. The supervisory teamÌýon every project must cover both an engineering and clinical specialism to ensure each students gets a broad understanding of both the technical aspects and real-world application of their research.ÌýThe project often (but not necessarily) forms the basis for the student’s PhD research.Ìý
The project often (but not necessarily) forms the basis for the student’s PhD research.
- Journal ClubÌý(Term 1,2&3) 15 Credits
Critical Review of Key Papers in Biomedical Imaging (MPHY0031)
Website:Ìý/intelligent-imaging-healthcare/cdt-journal-club
CourseÌýOrganisers:
Aims and objectives
Understanding and forming an accurate opinion of a journal article is a crucial skill for research; the CDT’s flagship journal club course aims to equip students with the skills necessary to carry out a critical review of literature relevant to their field.
Students will work together through group work and discussion to develop skills for critical thinking and reviewing, and understand the motivation for paper writing whilst developing academic presentation skills.YouTube Widget Placeholder Ìý
Elective Modules (15 credits each)
- Scientific Computing
- Imaging Physics
- Image Computing
- AI and Machine Learning
- Data Science and Health Informatics
- Data Methods for Health Research CHME0013Ìý(Term 1)
- Principles of Health Data Science CHME0012Ìý(Term 1)
- Surgical Data ScienceÌýMPHY0047 (Term 2)
- Additional modules available from MSc in Health Data Science
- Robotics and Sensing
- Human-Computer Interaction (HCI)