Applied Bioinformatics

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School of Medicine · Medicine and dentistry

Gain practical skills in data science by analysing real-world biological data with tools used at the forefront of research, specialising in either genomics or systems biology. This programme is designed to equip students with the interdisciplinary knowledge and practical skills required to thrive in the rapidly evolving fields of data science with specialisms in either genomic or systems biology. You will explore how biological data is generated, analysed, and interpreted using computational approaches, while gaining hands-on experience with real research datasets. The programme aims to: - Develop your ability to manage, analyse, and interpret large-scale biological datasets in a reproducible and ethical manner. - Build a strong foundation in computational and statistical methods as applied to contemporary problems in genomics, transcriptomics, and systems biology. - Provide practical experience in solving authentic research problems using widely adopted bioinformatics workflows and big data pipelines. - Support your development as an independent, collaborative, and reflective researcher prepared for academic, clinical, or industry roles. - Embed — University’s graduate attributes by fostering critical thinking, communication, adaptability, and digital fluency. - The programme is ideal for students from a bioscience, computational, or quantitative background who want to gain applied, career-ready skills for research and data-intensive roles in the life sciences.

Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.