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A 2.1 Honours degree or equivalent qualification acceptable to the University in a Natural Science subject, Mathematics, Computer Science, or a relevant medical or life sciences subject (e.g. Genetics, Molecular Biology, Biomedical Sciences, Physics or Statistics). A medical (MB) or dental degree (BDS) is also considered.
Months of entry
The past decade has seen enormous advances in molecular and biomedical technology resulting in an‘omics’ revolution.
Bioinformatics covers the application of mathematics, statistics and computing to biological and clinical scenarios. Algorithms and software tools are used to understand and interpret patient-derived ‘Big Data’
You will be analysing clinical and ‘omics data in order to find complex patterns relating to patient response to treatments and prognosis. You will discover results that translate to the real world, through clinical trials or commercialisation. You will use your vision to find unique solutions to clinical and biological problems, and by the end of the degree you will be ready to work within a multidisciplinary team alongside bioinformaticians, biologists and clinicians from the Patrick G Johnston Centre for Cancer Research, the Welcome Wolfson Institute for Experimental Medicine, and the Centre for Public Health.
This is complemented by guest lectures from industrial and clinical collaborators.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details