MScMolecular Medicine (Clinical Applications)
Study location | United Kingdom, Sheffield |
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Type | Master courses, full-time |
Nominal duration | 1 year |
Study language | English |
Awards | MSc |
Entry qualification | Undergraduate diploma (or higher) Minimum 2:1 honours degree, or equivalent, in medicine The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. |
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Language requirements | English IELTS: 7.0 with a minimum of 7.0 in listening and 6.5 in all other components |
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Other requirements | At least 2 reference(s) must be provided. These should be supplied and signed by academic staff at institutions where you have studied previously. They must be presented on the official letter-headed paper of the relevant institution. If you have been out of education for the last two years, you can send one academic reference plus one from your current employer if you wish. CV |
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More information |
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Overview
Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.
Programme structure
Core modules
From Genome to Gene Function
Human Gene Bioinformatics
Human Disease Genetics
Modulating Immunity
Literature Review
Laboratory Techniques
Clinical Attachment Presentation Module
Examples of optional modules
A wide choice of pathways (related to the field of your clinical attachment) which includes:
Virulence Mechanisms of Viruses and Fungi (Microbes and Infection)
Molecular and Cellular Basis of Diseases (Experimental Medicine)
Vascular Cell Biology (Cardiovasular)
The Molecular Basis of Tumorigenesis and Metastasis (Cancer)
Modelling Protein Interactions (Genetic Mechanisms)
Special options for the clinical attachment are:
Clinical Attachment
Clinical Research Project
Teaching
Lectures
Tutorials
Seminars
Clinical Attachment
Assessment
Essays
Portfolio work
One Statistic Exam
Dissertation