Immerse yourself in bioinformatics and data analysis, guided by world-class researchers at the forefront of their fields.

Biosciences are increasingly dominated by vast amounts of data, which can scale from molecular levels (genomic, transcriptomic, proteomic, or metabolomic data) to ecological and environmental data collected from large populations or communities. The ability to manipulate, analyse, and interpret these data is pivotal to addressing the biological challenges of the 21st century.

Our interdisciplinary MSc Data Science for Biology is designed to equip you with comprehensive knowledge and skills in data mining, bioinformatics, and statistics. You’ll become proficient in the analysis of biological data, learning essential skills such as statistical analysis, data visualisation, and bioinformatics techniques. You'll master the tools required to analyse complex biological data, including Python and R. You’ll also have exciting opportunities to collaborate with industry partners at the Norwich Research Park, such as the Earlham Institute, John Innes Centre, and Quadram Institute.

Here at UEA, you’ll be part of our vibrant research community within the School of Biological Sciences. We take a uniquely integrated approach, connecting biology at all scales - from molecules, genes, and genomes to populations and ecological communities. In the 2021 Research Excellence Framework, 92% of our research was classified as ‘world-leading’ or ‘internationally excellent,’ offering you unparalleled research opportunities.

With UEA's MSc in Data Science for Biology, you're not just getting a degree you're opening doors to a world of opportunities. You’ll graduate with in-demand skills that will pave the way for rewarding careers in biotech, medicine, and the life sciences. Along with a wealth of knowledge, you’ll gain prestigious connections and significant research experience. This unique combination will give you a substantial competitive edge, placing you ahead of other graduates in your career or further studies.