Bioinformatics The University of Manchester

Overview

The Bioinformatics MPhil at The University of Manchester provides students with the opportunity to undertake a significant research project using state-of-the-art computational approaches. This programme is designed to bridge the gap between biological data and health breakthroughs by transforming complex information into actionable insights. Students work within a multidisciplinary environment that fosters innovation in genomics, proteomics, and systems biology.

Why Bioinformatics at The University of Manchester?

The University of Manchester is a premier global centre for bioinformatics and computational biology, boasting one of the largest concentrations of specialist academic groups in the United Kingdom. Students benefit from being part of the Division of Informatics, Imaging and Data Sciences, which drives innovation in biomedical research. The institution provides a collaborative atmosphere where researchers tackle real-world challenges alongside experimental colleagues. Furthermore, the Doctoral Academy Training Programme ensures that all postgraduate researchers develop essential transferable skills, such as project management and effective communication, to prepare them for influential roles in various sectors.

Tuition Fee Breakdown

• International fee: GBP 27000 per year
• National fee: GBP 5006 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

As a research-based degree, the curriculum focuses on developing expertise in computational methods applied to biological sciences. Modules and research areas may include:

• Genomics
• Proteomics
• Systems Biology
• Mathematical Modelling
• Machine Learning
• Sequence Analysis
• Quantitative Proteomics
• Metabolomics
• Protein Structure Prediction

Careers with Bioinformatics

Graduates from this programme are well-equipped to enter a variety of professional environments due to the increasing digitalisation of biological sciences. The skills acquired during the degree are highly sought after in academia, industrial research, and consultancy. Former students often find success in roles related to diagnostics, prognostics, and the pharmaceutical industry. By mastering the ability to process and analyse large volumes of complex data, graduates can pursue careers that involve predicting gene functions or developing novel clinical tools. The programme's emphasis on transferable skills also allows for progression into leadership positions within the global bioscience community.