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Biomedical research generates large volumes of complex data, encompassing: genomics, proteomics, metabolomics, phenotypic data, epidemiology and clinical trial investigations, to inform our understanding of disease mechanisms.
This course will equip you with the skills to utilise these data sets in the development of precision medicine. Data impacts on the creation of new tailored therapies, aiding earlier diagnosis and the selection of optimal treatment regimens for patients who may be suffering from disorders ranging from common disorders of complex aetiology (such as cancer or cardiovascular disease) to the more rare Mendelian disease (such as muscular dystrophy).
This distinctive course has been designed to directly meet research
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BSc First Class or 2:1 or equivalent in a relevant scientific discipline which would normally be one of the biological sciences or natural sciences. Subject to University regulations, MBChB or BDS students who had completed 3 years of study would be eligible to intercalate.
While the course does not assume any prior knowledge of statistics, we require that students demonstrate their aptitude for statistics from either undergraduate teaching in statistics/mathematics, an A-level (or equivalent) in mathematics or other relevant experience.
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