Precision Medicine: Genomic Data Science at University of Leeds - UCAS

University of Leeds

Degree level: Postgraduate

Precision Medicine: Genomic Data Science (Taught)

Course options

Course summary

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. Whether you’re experienced with data analysis or not, this course will develop your skills and provide extra support for those students who are less confident in their mathematical ability. You will gain the skills to use large volumes of complex data, encompassing genomics, proteomics, metabolomics, phenotypic data, epidemiology and clinical trial investigations, to improve the understanding of disease mechanisms. Upon completion, you will find you have an excellent chance of moving into the analytical genomics field in industry, the NHS and academia. Course highlights

  • You’ll benefit from a research-led education at the forefront of the most innovative data analytics research at Leeds.
  • The University of Leeds is now a partner of The Alan Turing Institute, the UK’s prestigious national institute for data science. The partnership is spearheaded by the Leeds Institute for Data Analytics (LIDA).
  • Research in LIDA sheds new light on health and human behaviour and the action needed to tackle a wide range of medical, social and environmental problems.
  • LIDA is supported by national programmes such as the MRC’s Medical Bioinformatics scheme.
  • Leeds has recently been the recipient of huge investments from funding councils across the UK, such as the recent £10 million investment in artificial intelligence and digital pathology.


Modules include: High-Throughput Technologies, Biopharmaceutical Development: Clinical, Analytical Skills in Precision Medicine, Research Project: Genomics and Analytics, Introduction to Genetic Epidemiology, Statistical Theory and Methods, Statistical Learning, Big Data and Rare and Common Disorders, Cancer Biology and Molecular Oncology

Entry requirements

BSc 1st class or 2i, or equivalent (for example a pass in MBChB, BDS), in a relevant scientific discipline which would normally be one of the biological sciences but a natural sciences graduate will be considered. Subject to University regulations MBChB or BDS students who had completed 3 years of study would be eligible to intercalate. A-level mathematics (or equivalent level of numeracy demonstrated through undergraduate degree or other relevant experience) will also be required.

English language requirements

TestGradeAdditional details
IELTS (Academic)6.5with no less than 6.0 in each component of listening, reading, speaking and writing
TOEFL (iBT)92with no less than 21 in listening, 21 in reading, 23 in speaking and 22 in writing
PTE Academic64with no less than 60 in each component of listening, reading, speaking and writing

Please click here for further details of our English requirements

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There may be help for students in the form of loans and non-repayable grants from the University and from the government.

Precision Medicine: Genomic Data Science at University of Leeds - UCAS