Overview
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.
Cancer Genomics and Data Science programme is offered at Queen Mary University of London is designed and delivered by world-class experts in genomics and data science, who actively develop and apply computational tools to answer research questions
Career paths
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.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- 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
- Genomic Approaches to Cancer
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
- London, United Kingdom
Disciplines
Medicine Data Science & Big Data View 725 other Masters in Medicine in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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- 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.
- 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.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents29950 GBP / year≈ 29950 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents12850 GBP / year≈ 12850 GBP / year
Additional Details
Part-time fees:
- Home: £6,450
- Overseas: £15,000
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Cancer Genomics and Data Science.
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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