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MSc Cancer Genomics and Data Science

  • DeadlineStudy Details:

    1 year full-time or 2 years part-time

Masters Degree Description

Biomedical science is increasingly data driven and a wide range of state-of-the-art techniques in cancer genomics and data science is required to analyse multi-layer large scale cancer datasets and derive meaningful interpretable results. However, there is a serious shortage of well-trained people who have the relevant skillset and hands-on experience in real world biomedical and cancer data.

  • Join a programme designed and delivered by world-class experts in genomics and data science, who actively develop and apply computational tools to answer research questions
  • Gain hands-on experience using real world patient and experimental data
  • Learn up-to-date analytic techniques and bioinformatics/computational tools in biomedical and cancer research
  • Complete a substantial individual research project to expand your analytic skills and research experience
  • Choose the study option that suits you best: full-time, part-time, on campus or online

Entry Requirements

Degree requirements

A 2:1 or above at undergraduate level in any subject, provided the degree contains satisfactory study of Mathematics and Statistics. Subjects likely to contain sufficient quantitative elements include Genetics, Genomics, Bioinformatics, Mathematics, Statistics, Engineering, and Computer Science.

Applications from those with less quantitatively oriented Natural Sciences degrees, such as Biology and Medicine, are welcome if they have focused on the more quantitative elements of those degrees.

Other routes

Applicants with a 2:2 degrees with relevant content and at least one year of relevant experience, for instance work in industry, analytics, diagnostic labs, scientific research etc, may be considered on an individual basis.

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Fees

Please visit the website for up-to-date fees information

Module Details

  • Eight compulsory modules
  • Research project

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