MSc Computational and Genomic Medicine (new course scheduled to start in September 2017)
UCL is currently ranked 4th in the annual Times Higher Education-QS World University Rankings (2012), proving that it is one of the best educational institutes in the world. UCL is a vibrant multicultural institution operating in a global context with high quality research expertise across a wide range of disciplines. UCL Genetics Institute (UGI) is the leading bio-informatics and statistical genetics research centre, which now comprises over 25 internationally recognised computational biologists, geneticists and statisticians with a great expertise in computational and genomic medicine. At UCL students have access to speakers of international repute through seminars and external lectures, enabling them to keep abreast of emerging knowledge in Computational Biology and related fields.
The programme is principally aimed at graduates with a good degree in the life Sciences or medical sciences with an interest in computational approaches. The course also accepts graduates of computer science, mathematics, and statistics who can demonstrate the enthusiasm and interest in modern biological research.
Students emerge well-versed in the different tools and scientific disciplines which will allow them to research, develop and apply computational tools for storing, organising and analysing the large amount of biological and biomedical genetic data. This positions them well 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 and healthcare organisations, where an advanced training in laboratory genetic techniques as well as bioinformatic and statistical experience will be of value.
Length of the programme: 1 calendar year full-time
An MSc will be awarded upon satisfactory completion of the
core modules, optional modules and a dissertation based on an original
piece of work (core and optional module - 120 credits; research project
- 60 credits).
For the Diploma and Certificate, 120 and 60 taught
credits are required respectively.
Assessment will vary depending on the specific options selected, however the majority of modules are assessed by a combination of coursework, presentations and unseen written examination.
- Biocomputing 1 (15 credits) – run by Birkbeck College
- Statistical computing and data visualisation using R (15 credits)
- Henry Stewart’s on-line lectures on Principles of Human Genetics (informative)
- Understanding Bioinformatics Resources and Their Application (15 credits)
- Basic Statistics for Medical Sciences (15 credits)
- Bioinformatic Analysis of Transcription and Protein Data (15 credits)
- Statistics for Interpreting Genetic Data (15 credits)
- Computational and Systems Biology: In Silico Analysis of Genes and Proteins and their Biological Roles (15 credits)
- Molecular Evolution (15 credits)
- Genetics of Cardiovascular Genetics (15 credits)
- Genetics of Neurological Disease (15 credits)
- Clinical Application of Pharmacogenetic Tests (15 credits)
Research Project (60 credits)
To be assessed by submission of a dissertation and an oral presentation. Students will be offered exciting state of the art in-silico biostatistical/computational based projects which will allow them to learn cutting edge methods to analyse sequence data. Because of the cross-disciplinary framework of UGI, and reflecting the diversity of UCL, projects will be offered to students from supervisors based all over the greater-UCL campus, including the Royal Free Hospital, and many of the post graduate institutes. All projects will have a major component of bioinformatics and statistical analysis of published and available “deep sequencing” data.
A minimum of an upper second-class Honours
degree in a life science, computer science or medical discipline from a
university or an overseas qualification of an equivalent standard with
an interest in computational approaches.
must be confident using computers and have a good knowledge of mathematics
statistics. The course also accepts graduates of computer science,
mathematics, and statistics who can demonstrate the enthusiasm and
interest in modern research.
Professional or other qualifications obtained by written examinations and approved by UCL, together with at least three years of appropriate professional experience will also be considered.
For further information all prospective students should see our Graduate Prospectus
Please note that applications for this programme will not be open until October 2016, the earliest point of entry will be September 2017. The entry date is currently under review, for further information please contact us, see contact tab.
The Division welcomes applications from international students. Students whose first language is not English, are required to provide evidence of their ability to understand and speak and write English to a standard that will ensure that language problems do not impede their academic progress. UCL accepts a number of qualifications including the British Council International English Language Testing System (IELTS).
Language Centre offers both a one-year full-time Certificate in English
for Special Purposes and a range of pre-sessional English Language
Courses for those who do not meet UCL's minimum standard.
- International English Language Testing System (IELTS)
- Language Centre
- Certificate in English for Special Purposes
The International Office is a centre of expertise and advice for overseas students, who are welcome to seek help or guidance in many areas such as immigration, housing, finance, English Language, tuition and fees.
Application (applications due to open October 2016 for September 2017 entry)
Application should be submitted directly to UCL admissions.
The closing dates:
for UK/EU students is July 2017
for overseas students is June 2017
Student Tuition fee details can be found on our Student Fee Schedule Page
Page last modified on 19 feb 16 09:57