Overview

Biomedical 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.

Cancer Genomics and Data Science (Online) from Queen Mary University of London 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.

Key facts

You’ll leave this programme with competence in state-of-the-art analytic workflows and hands-on experience of a wide range of real-life cancer and medical data, so that you will be ready to meet research and industry needs after graduation.
There is high demand for well-trained bioinformaticians and computational biologists to manage, analyse, integrate and visualise “big data”, both in academia and industry. Bioinformatics and data science skills are highly transferable, allowing skilled individuals to move to other sectors, such as data analytics, software development and quantitative finance.
We anticipate that graduates from this programme are likely to move into roles such as:

Bioinformatician
Data analyst
Computational biologist
Researcher
In both academia and industry, including large pharmaceutical companies, small and medium-sized enterprises, and start-ups.

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Programme Structure

Courses included:

R and Python Programming in Biomedical Research

Omics Data Analytics and Practical Training

Computational Genomics, Transcriptomics and Evolution

Mathematical Modeling and Application

Single Cell Analytics

Machine Learning/Al and Application to Biomedical Research

Cancer Genomics and Data Science Research Project

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Key information

Duration

Full-time
- 12 months
Part-time
- 24 months

Start dates & application deadlines

Starting 2026-09-21 00:00:00
- Apply before 2026-09-07 00:00:00

Language

English

TOEFL^® IBT

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PTE Academic

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IELTS

6.5

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Credits

180 alternative credits

Delivered

Online

Campus Location

London, United Kingdom

Disciplines

Biomedical Science Data Science & Big Data Genetics View 61 other Masters in Data Science & Big Data in United Kingdom

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Academic requirements

GPA

Upper Second Class

English requirements

TOEFL^® IBT

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PTE Academic

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General 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.

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

31450 GBP / year

≈ 31450 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

13250 GBP / year

≈ 13250 GBP / year

Additional Details

Part-time study

Home: £6,650

Overseas: £15,750

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Cancer Genomics and Data Science (Online).

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Key facts

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Make sure you meet all requirements

Tuition Fees

International Applies to you

Domestic Applies to you

Additional Details

Funding

Scholarships Information

Available Scholarships

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