2017/18 Taught Postgraduate Programme Catalogue
PGDip Medical Imaging
Programme code: | PGD-MEDI-FT | UCAS code: | |
---|---|---|---|
Duration: | 9 Months | Method of Attendance: | Full Time |
Programme manager: | Mr A Davies | Contact address: | a.g.davies@leeds.ac.uk |
Total credits: 120
Entry requirements:
- Normally applicants would be expected to have a degree in medicine or an honours degree in science or a clinical subject (not less than second class or the equivalent) along with a knowledge mathematics at least to GCSE level.
- However, mature applicants with other qualifications who can demonstrate recent study success and relevant work experience may be considered.
- You will also be required to obtain proof of proficiency in English language: you will need to gain a TOEFL score (internet-based test) of at least 100 overall with at least 22 in listening and reading, 24 in speaking and 23 in writing; or a minimum IELTS (Academic) score of 7.0 with at least 6.5 in all components; or a PTE (Academic) score of 68 with at least 64 in all components.
School/Unit responsible for the parenting of students and programme:
Division of Medical Physics, School of Medicine
Examination board through which the programme will be considered:
School of Medicine Post Graduate Examinations Committee
Programme specification:
The PG Diploma is designed not only for recent graduates preparing for a career in medical imaging, but also for professionals already working in the field who may attend on a part-time basis. It aims to cover all aspects of medical imaging, from the basic physics involved, in different modalities, image formation, pattern recognition and applications within the field of Radiology.
By the end of this programme students should be able to:
- Demonstrate knowledge and understanding of the physical and mathematical aspects of image formation of several techniques;
- Identify the anatomical and physiological properties of tissue associated with image formation and contrast for several techniques;
- Analyse and compare the technical performance of various modalities and understand the health and safety considerations;
- Demonstrate an in-depth and advanced understanding of the clinical applications of each technique, the variables involved and how they can be compared;
- Apply IT in literature searching, analysis and display of data, and report writing to enhance life-long learning in medical imaging;
- Demonstrate enhancement of their professional skills in communication, problem-solving, learning effectively and quickly, and effective self-management;
- Critically evaluate relevant published work, demonstrating an understanding of the underpinning principles of statistics, project design and data analysis;
- Carry our research directly or indirectly related to the discipline of Medical Imaging part of which includes the development of a research question/hypothesis, critical review, the choosing and application of an appropriate investigative method, presentation of results and finally a critical discussion of the findings with a conclusion.
Year1 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Compulsory modules:
Candidates will be required to study the following compulsory modules:
ARCS5261M | Principles for Medical Imaging Interpretation | 15 credits | Semester 2 (Jan to Jun) | |
MEDP3319 | Medical Imaging Core Skills | 15 credits | Semester 1 (Sep to Jan) | |
MEDP5311M | Digital Radiography and X-ray Computed Tomography | 15 credits | Semester 1 (Sep to Jan) | |
MEDP5312M | Magnetic Resonance Imaging | 15 credits | Semester 1 (Sep to Jan) | |
MEDP5314M | Ultrasound Imaging | 15 credits | Semester 2 (Jan to Jun) | |
MEDP5317M | Radionuclide Imaging | 15 credits | Semester 2 (Jan to Jun) | |
MEDP5318M | Medical Image Analysis | 15 credits | Semester 2 (Jan to Jun) | |
MEDP5321M | Research Methods | 15 credits | Semester 1 (Sep to Jan) |
Last updated: 11/08/2015
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