Data Science for Biology at The University of Edinburgh - UCAS

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Course 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. The result of this is that skills that equip scientists and researchers with the expertise to extract biological meaning from this data are 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 intention is to complement and extend existing approaches, especially those from bioinformatics, with data science, to build highly adaptable skill sets for modern biological research. Is this MSc for me? The University of Edinburgh has a thriving data science community, which you would become part of. Based in the School of Biological Sciences, ranked in the top 5 for the UK for research power (REF 2022), you will be deeply focused on applying data science concepts within the domain of biological sciences. On completion of this programme you will be well equipped to undertake further studies, or to work in industry.


See the University of Edinburgh website for detailed programme information.

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.

Fees and funding

Tuition fees

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Data Science for Biology at The University of Edinburgh - UCAS