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Cancer Genomics and Data Science (Online) at Queen Mary University of London - UCAS

Queen Mary University of London

Degree level: Postgraduate
Awarded by: Queen Mary, University of London

Cancer Genomics and Data Science (Online) (Taught)

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

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
  • Study online so you can fit your studies around your other commitments. You can also choose to study in person with our on campus programme

Modules

Please refer to our website for modules related to this programme.

Assessment method

Please refer to our website for information on assessment.


How to apply

International applicants

Please see: www.qmul.ac.uk/international-students

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. For international qualifications, please refer to our website for specific entry requirements.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student. You can find tuition fees for each course on the course finder pages on our website by clicking the apply link, or navigate here: https://www.qmul.ac.uk/postgraduate/ Further details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/

Sponsorship information

To learn more about funding and scholarships, please visit our funding a masters webpage at: www.qmul.ac.uk/postgraduate/taught/funding_masters/

Cancer Genomics and Data Science (Online) at Queen Mary University of London - UCAS