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Different course options

Full time | Mile End | 1 year | 16-SEP-24

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Bioinformatics Biotechnology

Course type


Course Summary

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


  • 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


This module provides an introduction to the management and analysis of big data, focusing specifically on the analysis of genome sequence data. Lectures first introduce relevant data types and data handling skills. They subsequently cover the bioinformatics methods, algorithms and resources used for tasks such as read cleaning, genome assembly, gene finding, variant calling, population genomics, and caveats and quality control approaches for such analyses Practical exercises are used to imbue experience of the Unix command line, high performance computing, and the use of these technologies to run computationally intensive genome analysis tools.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

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.

University information

Queen Mary University of London (QMUL) is an internationally regarded public research institution based in London. It has a long history, dating back over 230 years, and is a member of the prestigious Russell Group of universities. Queen Mary has five campuses in the city of London and an international network of satellite campuses in China, Malta and Paris. There is a population of around 16,000 students at the London campuses and more than...more

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