What will I learn?

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.

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

Career prospects

We are committed to developing transferable skills and to improving graduate employability. We want highly capable graduate informaticians who can fulfil the growing bioinformatics needs of local, national and international employers. That is why this programme has been designed with the needs of academic research, the biotechnology, pharmaceutical and health care industries in mind. Instruction in computational and statistical biosciences will enable you to work effectively within a multidisciplinary bioinformatics arena.

Which department am I in?

Cardiff University

Study options

Full Time (1 year)

Tuition fees
Information not available

*View details on institution website

Start date

28 September 2020, 27 September 2021

Venue

Cardiff University

PO Box 921,

Cardiff,

CF10 3XQ, Wales

Entry requirements

For students from United States

Students will be required to have a bachelor's degree with good grades from recognised Universities and Colleges in the United States to be considered. A minimum GPA of at least 3.0 is usually required and admissions tutors will pay special attention to key subject classes.

For international students

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. In addition to satisfying the requirements of the Cardiff University General Entrance Requirements, meeting English language requirements of IELTS at least 6.5 with at least 6.5 in each subsection, at the discretion of the relevant Board of Studies. TOEFL: At least 90 overall with minimum scores of 17 for writing, 17 for listening, 18 for reading, and 20 for speaking.

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There may be different IELTS requirements depending on your chosen course.

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About this uni

Cardiff University is recognised by international employers from the globe-over, making its graduates highly sought after.

  • Ranked in the world’s top 100
  • Based in one of the safest capital cities in Europe
  • High quality teaching with highly qualified teaching staff
  • Recently invested GBP600m in its facilities