Bioinformatics

For graduates with a computer science or biological science background, an MSc in Bioinformatics will allow you to research, develop and apply computational tools for storing, organising and analysing the large amount of bimolecular data now available. Delivered by the Department of Informatics, which has an enviable reputation for research-led teaching and project supervision from leading experts in their field.

KEY BENEFITS

• Unrivalled location in the heart of London giving access to major libraries and leading scientific societies, including the BCS Chartered Institute for IT and the Institution of Engineering and Technology (IET).
• Multidisciplinary programme taught by staff from the Schools of Biomedical & Health Sciences, Medicine and Natural & Mathematical Sciences, giving access to advanced facilities and cutting-edge research projects.
• Balanced integration of computational, biological and medical aspects that enable students to develop analytical and practical transferable skills, preparing them to play a creative and leading role in the professional and research community.
• Access to speakers of international repute through seminars and external lectures, enabling studetns to keep abreast of emerging knowledge in bioinformatics and related fields.
  
  

PURPOSEFor graduates in computer science or biological sciences with good knowledge of computer programming, this MSc will equip you with the theoretical foundations and practical understanding of computational techniques in the study of molecular biology that is required for careers in fields such as biotechnology and pharmaceuticals. Research for your individual project will provide valuable preparation for a career in research or industry.

DESCRIPTION

This programme encompasses the multi-disciplinary nature of bioinformatics that involves research, development and application of computational tools for storing, organising and analysing the large amounts of bimolecular data now available (eg genomic, gene expression arrays, protein-protein interactions, protein and nucleic acid structures). It is built around taught core modules such as Algorithm Design & Analysis, and Algorithms Design for Computational Molecular Biology, which are complemented by a wide range of optional modules such as introduction to statistics for bioinformaticians and protein / gene interaction networks. The final part of the programme is an individual project which is closely linked with the research activities of the various Schools contributing to the programme. In addition, students with a biology background will be introduced to programming and computer science and students with a computational background will be introduced to molecular biology.