Computational and Genomic Medicine MSc
The Computational and Genomic Medicine MSc is a unique programme in the UK. It aims to provide students with a general knowledge of bioinformatics and to equip them with the specialised knowledge and skills required to use post-genomic data for predicting and defining the genetic basis of various human diseases. It also aims to provide tools for the analysis of human genomic data to develop innovative diagnostic tools and therapeutic approaches.
Mode of study
- Full-time 1 year
- UK/EU Full-time: £11,850
- Overseas Full-time: £23,000
- UK/EU applicants: 1 August 2014
- Overseas applicants: 30 June 2014
More details in Application section.
What will I learn?
This MSc will provide an integrated view of computational and genomic science research. Students will obtain a thorough grasp of the statistical and computational tools used for analysis of biological and biomedical datasets, together with good understanding and ability to analyse and interpret genomic data and to investigate the role of single or multiple genes and DNA sequence variants in diseases processes, both in individuals and in populations. Students will be offered exciting state of the art in-silico biostatistical/computational based projects which allow them to learn cutting-edge methods of sequence data analysis.
Why should I study this degree at UCL?
The UCL Genetics Institute (UGI) is a leading centre for bioinformatics and statistical genetics research, with internationally recognised computational biologists, geneticists and statisticians.
UCL itself is a world-leading centre for biological and medical research, comprising the Institute of Child Health (Great Ormond Street Hospital), the Institutes of Ophthalmology, Neurology, and Cancer, the Eastman Dental Institute, the School of Pharmacy and UCL Hospitals, and our students have access to ongoing molecular genetic and bioinformatic analysis of a huge variety of rare genetic diseases.
Students also have access to speakers of international repute through seminars and external lectures, keeping them abreast of emerging knowledge in computational biology and related fields.
Students undertake modules to the value of 180 credits. The programme consists of seven core modules (105) credits, one optional module (15 credits) and a research dissertation (60 credits).
Students undertake an original research project investigating topical questions in Bioinformatics and Genomic Medicine which culminates in a dissertation of 10,000 words and an oral presentation.
Teaching and Learning
The programme is delivered through a combination of lectures, seminars and tutorials, and will draw together cross-departmental teaching from Biosciences, Medicine, Epidemiology and Publich Health, and Statistical Science. Student performance is assessed through coursework, unseen examination and the research project.
Further details available on subject website:
Scholarships available for this department
This scholarship is to assist prospective Master's students from developing Commonwealth countries who are of excellent academic calibre but for financial reasons would not otherwise be able to afford to study in the United Kingdom. Students must not have previously studied for one year or more in a developed country and must hold the equivalent of a UK first- or upper second-class undergraduate degree. Students must have applied to study one of the 10 eligible Master's programmes. Students must return to their home country on completion of their degree.
These awards are based on academic merit and/or financial need.
This Scholarship is specifically design for those students who are experiencing financial hardship.
Based on financial need
Further information about funding and scholarships can be found on the Scholarships and funding website.
Normally a minimum of an upper second-class UK Bachelor's degree in computer sciences, biomedical sciences or a medical degree (MBBS), or an overseas qualification of an equivalent standard, together with demonstrable competence in mathematics and computer programming.
Select your country for equivalent alternative requirements
English language proficiency level: Good
How to apply
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
The deadline for applications is 1 August 2014 for UK/EU applicants and 30 June 2014 for overseas applicants.
Who can apply?
The programme is suitable for graduates with a computer science, biological science or medical background, who wish to do a PhD in Computational Biology, Genomic Medicine or related subjects and those who wish to enter employment in an advanced capacity in healthcare organisations or industry in the field of Bioinformatics and Genomic Medicine.
What are we looking for?
When we assess your application we would like to learn:
- why you want to study Computational and Genomic Medicine at graduate level
- why you want to study Computational and Genomic Medicine at UCL
- what particularly attracts you to this programme
- how your personal, academic and professional background meets the demands of a challenging academic environment
- where you would like to go professionally with your degree
On completion of this programme students are well positioned for PhD studentships in laboratories using genetic techniques to examine diseases such as heart disease, cancer and neurological disorders. Another large group will seek research jobs in the pharmaceutical industry, where an advanced training in laboratory genetic techniques as well as bioinformatic and statistical experience will be of value.
Students emerge well versed in the different tools and scientific disciplines which will allow them to make full use of the wide-ranging genetic discoveries that have happened over the past decade and will increasingly inform our understanding of human biology and disease.
"UCL has a lot of facilities that make your educational journey very interesting. The state-of-the-art laboratories, the interactive and scenario-based learning methods, the libraries and the location of the school in the heart of London made it even more amazing than I could ever hope for!"
Degree: Genetics of Human Disease MSc
"I made contacts at other universities and was encouraged to take part in conferences, receiving financial support to do so, which was great for getting general research experience and networking skills."
Research Associate, Loughborough University, 2012
Subject: Geography, Faculty: Social and Historical Sciences
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