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Cancer Genomics and Data Science MSc

Queen Mary University of London

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Queen Mary University of London

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    Charterhouse Square

  • Study mode

    Full time

  • Start date

    21-SEP-26

  • Duration

    1 Year

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 questionsGain hands-on experience using real world patient and experimental dataLearn up-to-date analytic techniques and bioinformatics/computational tools in biomedical and cancer researchComplete a substantial individual research project to expand your analytic skills and research experienceWhat you'll studyBiomedical science is increasingly data driven, as new bioanalytical techniques deliver ever more data about DNA, RNA, proteins, metabolites and the interactions between them in the whole tissue and single-cell levels. A wide range of state-of-the-art techniques in the field of cancer genomics and data science for example modelling, data integration, machine learning and AI is required to analyse multi-layer large scale cancer datasets and derive meaningful interpretable results.However there is a serious shortage of well-trained bioinformaticians, computational biologists and data analysts who have the relevant skillset and experience in real world biomedical and cancer data. This programme is designed to fill the gap between research and employment demands and student training, offering up-to-date modules focusing on ''big-data'' analyses and enabling these through use of high-performance computing, together with cutting edge research projects and practical training using real world cohort data.You’ll be taught by academics who are actively engaged in developing bioinformatics and computational tools, and applying them in cancer and medical research areas such as genomics, proteomics, evolution, modelling and biomarker discovery. We have an extensive network of academic and industrial collaborators around the UK, who contribute to teaching, co-supervise research projects and provide employment opportunities.

Tuition fees

Students living in United States
(International fees)

£ 31,450per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Queen Mary University of London

Queen Mary University of London

Queen Mary University of London

  • University League Table

    40th

  • Campus address

    Main Site, Mile End Road, London, Bethnal Green, E1 4NS, United Kingdom

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International students experience the comforts of campus life while living in the heart of London, regularly ranked as the best student city in the world.
Research at Queen Mary is world-leading across disciplines, with its academics making a major impact across all subject areas.
Queen Mary is truly inclusive, with multiple nationalities represented on its campuses.

Subject rankings

  • Subject ranking

    Computer Science

    20th out of 118 7

  • Entry standards

    / Max 229
    153 67%

    26th

  • Graduate prospects

    / Max 100
    81.0 81%

    42nd

    6

  • Student satisfaction

    / Max 4
    3.10 77%

    44th

    12

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