Precision Medicine: Genomic Data Science - MSc


University of Leeds    School of Biomedical Sciences

Full time September MSc 1 year full time
Biological Sciences (4) Computer Science (8) Mathematics (25) Medicine (26)

FindAMasters summary

Are you passionate about transforming healthcare through personalised genomic medicine? The MSc in Precision Medicine: Genomic Data Science at the University of Leeds is the perfect programme for you. Designed to meet the growing demand for talented graduates in this field, this unique course combines biological knowledge with computational and analytical skills. Whether you have experience in data analysis or not, this programme will develop your skills and provide extra support for those less confident in mathematics. You will learn to use complex data to improve our understanding of disease mechanisms and have excellent career prospects in industry, the NHS, or academia. Entry requirements include a relevant scientific bachelor's degree with at least a 2:1, and an aptitude for statistics. Don't miss the chance to be part of the future of genomic precision medicine.

About the course

Transform healthcare through personalised genomic medicine

The rapid transformation of healthcare through personalised genomic medicine is matched only by the consistently growing demand for talented graduates with the right skill-set.

From earlier diagnosis, to drugs based on our unique genetic codes, to disease prevention, there is a huge demand for more biomedical scientists with analytical skills. Responding to this gap, this unique course has been designed to directly meet the need for those with both biological knowledge and the computational and analytical interest to drive genomic precision medicine.

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Entry Requirements

Applicants should normally have a bachelor’s degree with at least a 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.


Fees

UK: £14,000 (Total)
International: £31,000 (Total)

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Student Profile

Diogo Ann Onuselogu

I chose to study my course to learn about how big data and precision medicine are furthering our knowledge in biology, medicine, and public health. As someone with a biomedical sciences background, I’m proud I was able to learn and use calculus, statistics, and programming beyond what I had ever learnt before.