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

Tuition fees

  • UK/EU Full-time: £11,850
  • Overseas Full-time: £23,000

Application date

  • 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).

Core Modules

  • Basic Statistics for Medical Sciences
  • Biocomputing I - Birkbeck module
  • Bioinformatic Analysis of Transcription and Protein Data
  • Bioinformatics of DNA Sequence Data for Translational Medicine
  • Henry Stewart's online lectures on Principles of Human Genetics (Informative)
  • Statistical Computing and Data Visualisation using R
  • Understanding Bioinformatics Resources and their Application

Options

  • Clinical Application of Pharmacogenetic Tests
  • Computational and Systems Biology: In Silico Analysis
  • Genetics of Cardovascular Genetics
  • Genetics of Neurological Disease
  • Molecular Evolution

Dissertation/report

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

Commonwealth Shared Scholarship Scheme   (CSSS)

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.

MSc Neuroscience Departmental Scholarship

These awards are based on academic merit and/or financial need.

MSc Genetics of Human Disease - UGI Masters Excellence Scholarships

This Scholarship is specifically design for those students who are experiencing financial hardship.

MSc in Pharmacogenetics & Stratified Medicine - UGI Masters Prize Scholarships

Based on financial need

Further information about funding and scholarships can be found on the Scholarships and funding website.


Entry requirements

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.

International equivalencies

Select your country for equivalent alternative requirements

English language proficiency level: Good

How to apply

The application deadline 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
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.


Career

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.

Employability

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.


Next steps

Contact

Ms Susan Walsh

T: +44 (0)20 7679 4168

Department

Division of Biosciences

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Prospectus subject

Biosciences

Faculty overview

Life Sciences


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