Course summary
The aim of this programme is to provide individuals with a platform to explore, analyse and interpret contemporary biological data. This course offers Masters level instruction in Bioinformatics and Genetic Epidemiology with a focus in genetic epidemiology. With a focus on genetic epidemiology, this programme is ideal for graduates from a life sciences, mathematics, or computer sciences discipline. It will provide you with the skills and knowledge of computational and statistical biosciences to prepare you for a challenging career in academic research, biotechnology, or the pharmaceutical and healthcare industries. Bioinformatics is the field of study that utilises computational tools to understand biology. Genetic Epidemiology is the study of how genetic factors play a role in determining health and disease, and their interplay with the environment. As well as developing core skills in computational and statistical biosciences, you will focus gene discovery approaches including GWAS, explore copy-number variation (CNV) analysis, and post-GWAS approached such as pathway/network, gene-set and polygenic epidemiological methods. This programme has been designed to meet the growing demand from academic research, biotechnology and the pharmaceutical and health care industries for capable informaticians with bioinformatics skills. We will provide instruction in computational and statistical biosciences and you will foster the additional complementary skills required to enable you to work effectively within a multidisciplinary bioinformatics arena. Aims of the Programme
- To introduce the commonly exploited computational, statistical and analytical approaches to post genomic biology and genetics
- To develop skills to understand and critically evaluate research methodologies and conclusions that allow you to make sound judgements about the applicability of these techniques to your own research
- To develop competency in both the design and analysis of studies and the effective extraction of information in genetics, genomics and other biosciences coupled with the ability to communicate the information, results, issues and ideas 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 you wish to pursue your career
Entry requirements
In addition to satisfying the requirements of the Cardiff University General Entrance Requirements, meeting English language requirements of IELTS 7.5 with at least 6.5 in each subsection, at the discretion of the relevant Board of Studies, applicants will: • normally possess a minimum of an upper second-class (or equivalent) primary degree in a bioscience or computing or mathematics/statistics. • Graduates in other subject areas with a degree awarded by a recognised Institution will be considered by the course Admissions Committee. At the discretion of the Board of Studies, non-graduates whose relative lack of formal qualifications or graduates who were awarded a lower-second class (or equivalent) degree may be accepted for study by compensation for their relevant work experience. The candidate must provide evidence that they have held, for a minimum period of two years, a position of responsibility relevant to the programme. For further information, please visit our website: https://www.cardiff.ac.uk/study/postgraduate/taught/courses/course/applied-bioinformatics-and-genetic-epidemiology-msc-full-time
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For tuition fee information, please visit our website: https://www.cardiff.ac.uk/study/postgraduate/taught/courses/course/applied-bioinformatics-and-genetic-epidemiology-msc-full-time
Provider information
Cardiff University
PO Box 921
Cardiff
CF10 3XQ