MSc Cancer Research

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

About the course

This course is aimed at graduates seeking to develop knowledge and expertise in the genetics and biology of cancer and the experimental methodologies utilised in cancer research. Training will be provided in the critically evaluation of cutting-edge cancer research literature and experimental methodologies and how to use these skills to propose and test research hypotheses in a laboratory setting.

Teaching and Assessment

Delivered by a team of Cancer Research academics with links to industry, government and academia, you will have access to cutting-edge cancer research expertise and outstanding research facilities. The course utilises an interactive teaching model that enables you to discuss and critique advanced concepts with academics, creating a vibrant and effective learning experience. You will also develop key capstone skills, including effective communication of science to different stakeholders via multiple media, and complete a cancer research project supported by one of our research active academics.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Compulsory modules
  • Research Skills
  • Cancer Biology
  • Cancer Genetics
  • Emerging technologies in Biomedicine
  • Advanced genomics and gene expression
  • Cancer Research Skills
  • Project
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    2 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs