Bioinformatics is an essential part of a wide range of modern biological research, from genetics to biochemistry, analytical science, neuroscience, epidemiology, nutrition, ecology, biomedicine and beyond. This programme will teach you how to manage and manipulate large datasets to gain new insights in biological sciences.
The biological sciences have become increasingly data driven, as 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 width of life science disciplines there is now high demand for trained bioinformaticians.
Without assuming any prior informatics experience, you will be taught the very latest tools and techniques in bioinformatics and apply them in a cutting edge research project. You will also collaborate with peers to build new bioinformatics solutions to real-world problems as part of an innovative group project.
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.
Research and teaching
By choosing to study at a Russell Group university you will have access to excellent teaching and top class research. Our staff draw heavily upon their industrial or research council-funded research to inform their teaching and ensure projects are topical and well-resourced.
- You can find out more about the research interests of Professor Conrad Bessant, Professor of Bioinformatics and programme lead for this MSc, on his staff profile page.
Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils. The School of Biological and Chemical Sciences have invested heavily in student facilities and you will benefit from state-of-the-art computing and informatics resources.
Our Bioinformatics MSc is currently available for one year’s full-time study, or to study part-time over two years.
Without assuming any prior informatics experience, you will be taught the latest tools and techniques in bioinformatics and apply them in a practical setting during your research project. You will also collaborate to build new bioinformatics solutions to real-world problems as part of an innovative group project.
If you have any questions about the content or structure, contact the programme director Professor Conrad Bessant
The following intensive taught modules run in the autumn term:
- Genome Bioinformatics: Covers the essential aspects of next generation sequence (NGS) analysis, including genome assembly, variant calling and transcriptomics. Also covers essential computer skills needed for bioinformatics, such as Linux and using our high performance computing cluster.
- Coding for Scientists: Assuming no prior programming knowledge, teaches you how to program in Python, using biological examples throughout. Python is one of the most popular languages in the bioinformatics community, and understanding Python provides the perfect foundation for learning other languages such as Perl, Ruby and Java.
- Statistics and Bioinformatics: Covers core statistics methods, within the R statistical computing environment. R has become the de facto environment for downstream data analysis and visualisation in biology, thanks to the hundreds of freely available R packages that allow biological data analysis solutions to be created quickly and reliably.
- Post-genomics Bioinformatics: Introduces techniques that have developed as a consequence of developments in genomics (i.e. transcriptomics, proteomics, metabolomics, structural biology and systems biology) with particular emphasis on the data analysis aspects. Practicals cover the popular Galaxy framework, advanced R, and machine learning.
After Christmas you will spend six intensive weeks working on a group project where skills developed in previous modules are applied to develop a novel piece of software to meet a real biological need. Additional skills you can pick up during this module include web development, database design and collaborative working using GitHub.
You then embark on an individual six month research project, the topic of which we are reasonable flexible about as long as it has bioinformatics at its core. We offer a list of projects supervised by members of QMUL, but you can also propose your own projects, which may be carried out elsewhere (e.g. at your employer if you are a part time student). Take a look at some of the previous years' projects.
A minimum of an upper second-class BSc (Hons) degree (or equivalent international qualification) in biology or other relevant natural sciences subject.
Applicants with a good lower second class degree may be considered on an individual basis, taking into account relevant background and related achievements.
English language requirements
All international students are required to provide evidence of their ability in English language.
The minimum level required for entry to our postgraduate programmes is:
- IELTS (International English Language Testing Service) - 6.5 (with a minimum of 6.0 in writing)
- WELT (Warwick English Language Test) – BBC/BCC
- TEEP (Test of English for Educational Purposes) – 6.5
- Cambridge ESOL Certificate in Advanced English – B
- Cambridge ESOL Certificate of Proficiency in English – C
For further information about our English language requirements please visit the QMUL international pages.
Am I eligible?
To check your eligibility contact our Postgraduate Admissions team:
Tel: +44 (0)20 7882 3328
Learning and teaching
As a student at Queen Mary, you will play an active part in your acquisition of skills and knowledge. Teaching is by a mixture of lectures and hands-on practical computer sessions. The group project involves small group tutorials and student presentations as well as open discussion. We take pride in the close and friendly working relationship we have with our students.
The QMUL MSc Bioinformatics programme is taught by experts who are all actively involved in cutting edge computational biology research.
The MSc is led by Prof Conrad Bessant, who has over 20 years' experience in the development of novel methods for analysing biological data. He has been teaching bioinformatics at Masters level since 2002 and is lead author of the textbook “Building Bioinformatics Solutions”, published by Oxford University Press. The genome bioinformatics module is led by Dr Yannick Wurm, an expert in handling next generation sequencing data, and a world leader in the evolutionary genomics of social insects, e.g. ants and bees. Dr Wurm is also at the forefront of developing new bioinformatics software.
Dr Fabrizio Smeraldi leads the coding module, and co-leads the group project with Prof Bessant. He has extensive experience in machine learning. His research includes automated determination of behavioral phenotype from video, and novel sequence analysis algorithms. The statistics module is taught by Dr Rob Knell, a Reader in ecology and evolution with a deep understanding of how statistical methods can be applied to answer biological problems. His is an expert in the R platform for statistical computing, and author of the popular ebook “Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming”.
Other leading academics contribute to the taught modules or supervise projects. These include Prof Claude Chelala and Dr Pedro Cutillas from Barts Cancer Institute, Dr Rob Lowe and Dr Miguel Branco from the Blizard Institute, and Dr Michael Barnes from the William Harvey Research Institute.
Students are assessed primarily by coursework, with a small number of in-class assessments. Coursework is usually in the form of a biological problem that for which a bioinformatics must be devised, implemented and written up. Assessment of the individual project is by a 10,000-word dissertation and a presentation that is given on the final day of the course.
Tuition fees for Home and EU students
Full time £8,700
Tuition fees for International students
Full time £17,450
There are a number of sources of funding available for Masters students.
These include a significant package of competitive Queen Mary University of London (QMUL) bursaries and scholarships in a range of subject areas, as well as external sources of funding.
Queen Mary bursaries and scholarships
We offer a range of bursaries and scholarships for Masters students including competitive scholarships, bursaries and awards, some of which are for applicants studying specific subjects.
Find out more about QMUL bursaries and scholarships.
Alternative sources of funding
Home/EU students can apply for a range of other funding, such as Professional and Career Development Loans, and Employer Sponsorship, depending on their circumstances and the specific programme of study.
Overseas students may be eligible to apply for a range of external scholarships and we also provide information about relevant funding providers in your home country on our country web pages.
Download our Postgraduate Funding Guide [PDF] for detailed information about postgraduate funding options for Home/EU students.
Tel: +44 (0)20 7882 5079
Other financial help on offer at Queen Mary
We offer one to one specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.
Our Advice and Counselling Service also has lots of Student Advice Guides on all aspects of finance including:
Tel: +44 (0)20 7882 8717
Our Bioinformatics programme will equip you with a strong foundation for further PhD research or for prospective employment. There is an increasing demand for bioinformatics skills across the biotechnology, life sciences and pharmaceutical sectors. The ability to manage, analyse, integrate and visualise “big data” using technologies such as Python and R is also applicable to fields including software development, data analytics and finance.
What are our graduates doing now?
The range of skills gained through our Masters programmes, coupled with opportunities for extra-curricular activities, has enabled students to enter careers such as:
- NERC funded CASE PhD studentship - Environment Agency
- PhD - QMUL, Queen's University Belfast, University of Edinburgh, University of Cambridge
- Research Scientist - Phosphonics
- Postdoctoral Researcher - Barts Cancer Institute
- Ecotoxicologist - ADAS UK Ltd
- Technical Officer - Environment Agency
- Internship - NERC
- PGCE Teacher Training
- Fisheries Ecologist - Brown May Marine
- Research Intern - Zoological Society of London
Careers support at QMUL
Throughout the course, postgraduates have access to a careers programme to prepare them for applying for work after graduation. This programme includes workshops on job hunting and job applications as well as employer events to facilitate networks and help students to explore their options. Recent career events open to the School’s postgraduates include the SBCS Industrial Liaison Forum featuring small and medium sized employers, and workshops on applying for and doing a PhD.
Queen Mary’s location between Canary Wharf, the City and the Olympic Village redevelopment means that there are substantial opportunities for on campus and local part time work and work experience. On campus there are 1200 job and volunteer opportunities ranging from E-learning Assistant to Website Administrator and from Society President to Student Mentor. QTemps job agency offers work suitable for current students and recent graduates, QMSU Volunteering facilitates volunteering and QM JobOnline hosts over 800 part time and full time job vacancies.
- Read more about our careers programmes and range of work experience opportunities on the QM Careers pages.