Master in Applied Bioinformatics

Tuition fees are 39,905 USD per year.

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. screen Bioinformatics at the core Build expertise in bioinformatics through real-world data analysis and computational problem-solving, integrated across all teaching blocks. molecule Real-world research data Work with biological data from active research in genomics, transcriptomics, genetic epidemiology, protein design, and systems biology. tick Hands-on skills development Gain experience in coding and workflow management tools through applied, project-based learning. molecule Research-led teaching Learn from internationally recognised researchers driving innovation in bioinformatics, data science and big data biology. book Compact teaching blocks Focus on one module at a time with five-week teaching blocks that integrate learning and assessment. scroll Tailored career preparation Build practical, transferable skills for careers in research, healthcare, biotech, and data science sectors. 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 Cardiff 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. Where you'll study