Cancer Genomics and Data Science (Online)

Queen Mary University of London

Postgraduate MSc Distance learning (full-time) 1 Year Biomedical sciencesComputer scienceBiology

Cancer Genomics and Data Science (Online) MSc is a postgraduate degree at Queen Mary University of London, based in London, taught distance learning (full-time) over 1 year.

About this course

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

Study Options

This course is available in 2 study options:

Distance learning (full-time) Shown above

Duration: 1 Year

Qualification: MSc

Location: London

Distance learning (part-time)

Duration: 2 Years

Qualification: MSc

Location: London

Career Prospects

Graduates from this course typically go into the following occupations. Click through for salaries, employment rates and other UK degrees that lead there:

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Course Details

Qualification
MSc
Study Mode
Distance learning (full-time)
Duration
1 Year
Start Date
2025

2025-entry data — 2026 offers may differ

Academic Year
2025
Campus / Location
London
Scheme
Postgraduate
Subjects
Biomedical sciences, Computer science, Biology