Bioinformatics MSc

Biological sciences are more data driven than ever before and bioinformatics is now central to modern biological research. This programme will teach you how to analyse, integrate, visualise and manipulate large datasets, make new discoveries and reveal new insights in biological sciences.

• Strong foundation for careers which have excellent employment prospects, such as in biotechnology, life sciences and pharmaceutical sectors
• No programming experience needed – learn to manage data using industry-standard technologies such as Python and R
• Intensive training in high-demand data science skills applicable to software development, data analytics and finance
• Six-month research project in a leading research group, with opportunities to publish scientific papers
• Enjoy our extensive network of academic and industrial collaborators around the UK and in Europe

Facilities

• Linux computer lab
• Apocrita – Queen Mary’s high performance computing cluster
• Brand new Graduate Centre, offering purpose-built study spaces and an exclusive rooftop common room
• Think Pod – an interactive collaboration space with presentation, recording and video conferencing facilities
• Access to some of London’s outstanding facilities including the British Library, Senate House Library and Copac

Career paths

During your studies you'll have access to support at every stage in your degree, including one-to-one academic guidance, tailored workshops, and external guest speakers. Graduates of this course are well-placed to progress onto PhD research or careers in industry, consultancy and conservation.

Graduates from this course have progressed to:

• Software Engineer/Bioinformatician at European Bioinformatics Institute
• Informatics Assistant at Blizard Institute
• PhD Student at Queen Mary University of London
• Bioinformatics PhD Researcher at UCL Cancer Institute

Students need to have a 2:1 or above at undergraduate level in Biology or a relevant natural sciences subject. Applicants with a good 2:2 degree may be considered on an individual basis.