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The University of Edinburgh: Data Science for Biology
| Institution | The University of Edinburgh View institution profile |
|---|---|
| Department | School of Biological Sciences |
| Web | https://www.ed.ac.uk/studying |
| Study type | Taught |
Summary
Biological science is being transformed by a range of high-throughput technologies that generate vast amounts of data. These technologies include high-throughput genomic sequencing, imaging, screening and proteomics.
Skills that equip scientists and researchers with the expertise to extract biological meaning from this data are therefore in high demand.
This programme uses concepts from data science to train students in a generic set of skills that can be adapted to solve problems in a flexible way across different types of data. The aim is to complement and extend existing approaches, especially those from bioinformatics, with data science, to build highly adaptable skill sets for modern biological research.
On this programme, you will be deeply focused on applying data science concepts within the domain of biological sciences.
MSc
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements. |
| Location | King's Buildings West Mains Rd Edinburgh EH9 3JW |
Edinburgh. Extraordinary futures await.
The University of Edinburgh is one of the world's top universities, consistently ranked in the world top 50, and placed 34th in the QS World University Rankings 2026.
Our position as one of Britain’s leading research universities was reaffirmed by the results of the 2021 Research Excellence Framework (REF). The University of Edinburgh is one of the world’s top research-intensive universities, ranked 4th in the UK for research power (Times Higher Education, Overall Ranking of Institutions), with 90% of our research activity classified as world leading or internationally excellent in the 2021 Research …
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