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MSc Computational and Genomic Medicine
Students will obtain a thorough grasp of statistical and computational tools used for analysis of biological and biomedical datasets together with a good understanding and ability to analyse and interpret genomic data.
A minimum of an upper second-class Honours degree in a life science, computer science or medical discipline from a UK university or an overseas qualification of an equivalent standard with an interest in computational approaches. Applicants must be confident using computers, have a good knowledge of mathematics or 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.
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 Data (15 credits)
- Bioinformatics of DNA Sequence Data for Translational Medicine (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.
To find more information and APPLY click here
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