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). The choices of the taught modules are tailored to each student’s background and project needs. We 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.
- Research project (Term 1,2&3)
Research Project in Biomedical & Medical Imaging MPHY0024
Every student under our CDT has the opportunity to choose a unique research project which aligns to both a methodological imaging and clinical theme.
Each project we accept is chosen for its translational potential, close clinical relevance and associated areas of expertise from the primary supervisors. The supervisory team on 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. The project often (but not necessarily) forms the basis for the student’s PhD research.
The project often (but not necessarily) forms the basis for the student’s PhD research.
- Journal Club (Term 1,2&3)
Critical Review of Key Papers in Biomedical Imaging (MPHY0031)
Course Organisers: Dr Ivana Drobnjak, Constantinos Timinis
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.
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- Scientific Computing
- Imaging Physics
- Image Computing
- AI and Machine Learning
- Data Science and Health Informatics
- Data Methods for Health Research CHME0013 (Term 1)
- Principles of Health Data Science CHME0012 (Term 1)
- Surgical Data Science MPHY0047 (Term 2)
- Additional modules available from MSc in Health Data Science
- Robotics and Sensing
- Human-Computer Interaction (HCI)
- User Centred Data Visualisation PSYC0102 (Term 2)
- Human Factors for Digital Health PSYC0098 (Term 2)
- Additional modules available from MSc in Human-Computer Interaction