Bioinformatics MSc (Taught)

Bioinformatics combines knowledge from a variety of disciplines such as biology, computer science, mathematics and statistics to analyse and interpret biological data on a large scale.

The Bioinformatics programme at Bradford includes training in experimental techniques that complements commonly used data acquisition methods in a broad range of investigative scenarios. This is designed to provide basic training in the principles of bioinformatics, followed by coverage of the advanced level of knowledge and training required relevant to large-scale data mining and processing, including programming and scripting via command line and the Galaxy interface.

A key feature of the MSc programme at Bradford is that students are able to learn the theoretical knowledge of bioinformatics, with practical training in experimental techniques that are commonly used in biomedical sciences. This is designed to enable students to become knowledgeable in genomics, proteomics transcriptomics and metagenomics so that they can apply bioinformatics approaches in a broad range of real-world employment scenarios aimed at improving human health, both in industry as well as in healthcare organisations.

Course Modules

Research Project (60 credits, core) |

’Omics’ Techniques in Biology and Healthcare (20 credits, core) |

Principles of Bioinformatics (20 credits, core) |

Practical Skills in Research (20 credits, core) |

Research Project Preparation and Plan (20 credits, core) |

Advanced Bioinformatics (20 credits, core) |

Practical Molecular Biology (20 credits, core) |

The programme content is taught using conventional teaching methods that include lectures, seminars, tutorials, laboratory classes, workshops and a research project.

In addition, independent self-directed or problem-based learning may include interactive research case studies, peer and collaborative sessions, reflective practice and portfolio building. These may be supplemented with interactions with science professionals and tasks that are either work-based or linked to other placements.

Assessments use a combination of unseen written examinations and a wide range of coursework elements such as laboratory reports, essays, online and computer-based assessments, data interpretation and analysis. This is also supplemented with assessment of communication skills in oral and poster communications during peer-reviewed and collaborative sessions