As biological sciences have become more data driven, bioinformatics is now central to modern biological research, from genetics, nutrition and epidemiology to ecology, neuroscience and biomedicine. This programme will teach you how to manage and manipulate large datasets to reveal new insights in biological sciences. You will get intensive training in a computer-based approach to biological research, with the opportunity to develop specialist skills in computer programming, data analysis, statistics and computational biology.
New analytical techniques deliver ever more dat...
As biological sciences have become more data driven, bioinformatics is now central to modern biological research, from genetics, nutrition and epidemiology to ecology, neuroscience and biomedicine. This programme will teach you how to manage and manipulate large datasets to reveal new insights in biological sciences. You will get intensive training in a computer-based approach to biological research, with the opportunity to develop specialist skills in computer programming, data analysis, statistics and computational biology.<br/><br/>New analytical techniques deliver ever more data about genes, proteins, metabolites and the interactions between them. Bioinformatics is the discipline tasked with turning all this data into useful information and new biological knowledge. With applications spanning the breadth of life science disciplines, there is now high demand for trained bioinformaticians.<br/><br/>Prior experience of computer programming is not required as you will be taught the latest tools and techniques in bioinformatics, which you will then apply to your own research project. You will also collaborate with peers to build new bioinformatics solutions to real-world problems as part of an innovative group project. <br/><br/>This programme is delivered by academics who are actively engaged in developing bioinformatics tools and applying them in areas such as genome sequencing, proteomics, evolution, ecology, psychology, cancer, diabetes and other diseases. We have an extensive network of academic and industrial collaborators around the UK and in Europe, who contribute to teaching, co-supervise projects and provide employment opportunities.
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Part-time
Duration
2 Years
Start Date
09/2025
Campus
Mile End
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Q50
Points of Entry
Unknown
Take the next steps at Queen Mary, University of London with our postgraduate course search.