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MSc Precision Medicine: Genomic Data Science

  • DeadlineStudy Details:

    MSc 12 months full time

Course Description

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 early 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.

Entry Requirements

A bachelor degree with a 2:1 (hons) , IELTS 6.5 overall, with no less than 6.0 in any single component

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Fees

Please see our website for fees information

Student Destinations

As outlined in the recent publication ‘Science Industry Partnership: Skills Strategy 2025’, there is a demand for the skills that will be developed on this programme.

Upon completion of this programme you will be well-placed to undertake a PhD in this field. You may also be able to enter into a number of roles within the industry or NHS:

  • Computational biology
  • Data analytics functions
  • Clinical genetics
  • Disease Biologist
  • Clinical Scientist
  • Clinical leadership in genomic medicine

Module Details

Year 1 compulsory modules

High-Throughput Technologies 15
Biopharmaceutical Development: Clinical 15
Analytical Skills in Precision Medicine 15
Research Project: Genomics and Analytics 60
Introduction to Genetic Epidemiology 15
Statistical Theory and Methods 15
Statistical Learning 15
Big Data and Rare and Common Disorders 15
Cancer Drug Development 15

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