For entry requirements, please see our website.
Months of entry
The aim of this programme is to provide individuals with the skills to explore, analyse and interpret contemporary biological data. This course offers Masters level instruction in Bioinformatics and Genetic Epidemiology.
You will develop key skills necessary to analyse genomics data for gene discovery, including genomewide association studies (GWAS) and post-GWAS applications such as gene-set and polygenic genetic epidemiology analysis.
This programme has been designed for biomedical scientists and informaticians looking to undertake a career in academic research, the biotechnology, pharmaceutical or health care industries.
Aims of the Programme
- To provide the practical skills and knowledge in computational and statistical biosciences for careers in academic research, the biotechnology, pharmaceutical or health care industries;
- To introduce computational, statistical and analytical approaches applicable to post genomic biology and genetics data;
- To develop skills to enable better understanding and critical evaluation of research methodologies, such that sound judgements about the applicability of these techniques to specific research questions can be made;
- To develop competency in both the design and analysis of research studies and to develop skills in effective extraction of information from genetics, genomics and other biosciences data;
- To develop the ability to communicate the information, results, issues and ideas around analyses to audiences of both a specialist and non-specialist background;
- To prepare and provide guidance to perform an original piece of research within the specialist area in which they wish to pursue their career. To strengthen your ability to take the initiative and responsibility for planning and carrying out tasks and demonstrate original thought in tackling and solving problems as would be necessary in employment.
Qualification and course duration
Course contact details
- Applicant enquiries
- +44 (0)29 2087 9999