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Queen Mary University of London: Cancer Genomics and Data Science
| Institution | Queen Mary University of London View institution profile |
|---|---|
| Department | Barts Cancer Institute |
| Web | https://www.qmul.ac.uk/ |
| Study type | Taught |
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.
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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
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Gain hands-on experience using real world patient and experimental data
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Learn up-to-date analytic techniques and bioinformatics/computational tools in biomedical and cancer research
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Complete a substantial individual research project to expand your analytic skills and research experience
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Choose the study option that suits you best: full-time, part-time, on campus or online
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.
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.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Potential students are expected to have, or be expecting, a minimum 2:1 in a relevant subject of quantitative background, such as genetics, genomics, maths, physics, engineering and computer sciences. Students with a 2:1 in Biology, Medicine, or a relevant natural sciences subject with strong quantitative skills will also be considered. Applicants with a 2:2 and strong supporting evidence may be considered on an individual basis. |
| Location | Charterhouse Square Charterhouse Square Islington EC1M 6BQ |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Potential students are expected to have, or be expecting, a minimum 2:1 in a relevant subject of quantitative background, such as genetics, genomics, maths, physics, engineering and computer sciences. Students with a 2:1 in Biology, Medicine, or a relevant natural sciences subject with strong quantitative skills will also be considered. Applicants with a 2:2 and strong supporting evidence may be considered on an individual basis. |
| Location | Charterhouse Square Charterhouse Square Islington EC1M 6BQ |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Potential students are expected to have, or be expecting, a minimum 2:1 in a relevant subject of quantitative background, such as genetics, genomics, maths, physics, engineering and computer sciences. Students with a 2:1 in Biology, Medicine, or a relevant natural sciences subject with strong quantitative skills will also be considered. Applicants with a 2:2 and strong supporting evidence may be considered on an individual basis. |
| Location | Charterhouse Square Charterhouse Square Islington EC1M 6BQ |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Potential students are expected to have, or be expecting, a minimum 2:1 in a relevant subject of quantitative background, such as genetics, genomics, maths, physics, engineering and computer sciences. Students with a 2:1 in Biology, Medicine, or a relevant natural sciences subject with strong quantitative skills will also be considered. Applicants with a 2:2 and strong supporting evidence may be considered on an individual basis. |
| Location | Charterhouse Square Charterhouse Square Islington EC1M 6BQ |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Potential students are expected to have, or be expecting, a minimum 2:1 in a relevant subject of quantitative background, such as genetics, genomics, maths, physics, engineering and computer sciences. Students with a 2:1 in Biology, Medicine, or a relevant natural sciences subject with strong quantitative skills will also be considered. Applicants with a 2:2 and strong supporting evidence may be considered on an individual basis. |
| Location | Charterhouse Square Charterhouse Square Islington EC1M 6BQ |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Potential students are expected to have, or be expecting, a minimum 2:1 in a relevant subject of quantitative background, such as genetics, genomics, maths, physics, engineering and computer sciences. Students with a 2:1 in Biology, Medicine, or a relevant natural sciences subject with strong quantitative skills will also be considered. Applicants with a 2:2 and strong supporting evidence may be considered on an individual basis. |
| Location | Charterhouse Square Charterhouse Square Islington EC1M 6BQ |
Queen Mary University of London
Queen Mary University of London was established in 1785 and is a leading research-intensive university with a difference – one that opens the doors of opportunity to anyone and supporting students to succeed.
With schools split across five campuses in central and east London, students are able to select from an exceptionally broad range of subjects across three main faculties, including the Faculty of Humanities and Social Sciences, Faculty of Science and Engineering, and Faculty of Medicine and Dentistry.
Facts
- Queen Mary is a member of the Russell Group of universities in the UK, which …
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