This course was first established over a decade ago in response to the emerging informatics needs of the genetics and genomics communities following the completion of the first drafts of the human genome project. Subsequent advances in research technologies and analytic approaches have dictated the continuing evolution of this programme to provide contemporary instruction in these new essential skills. Providing a strong platform for students entering from the biological, mathematical or computational sciences, this course provides modules in core complementary areas such as in computation/scripting, statistics and molecular biology; the fundamental building blocks necessary to succeed in bioinformatic analysis and interpretation. As an introduction – you will be taught essential organisational and coding skills required for effective bioinformatics and biostatistical analysis. One of the unique components of this course is the extended instruction in statistics provided by the Statistics for Bioinformatics and Genetic Epidemiology module. You will also be introduced to the molecular and cellular biology behind the data. This is invaluable if you are entering from a non-life sciences background to make informed decisions around data interpretation. You will extend your bioinformatics studies by focusing on next generation sequencing technologies and other developing omics platforms such as proteomics and metabolomics. 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.

You will be required to have a relevant four year Bakalavr bachelor's degree from a recognised institution, with grades of approximately 80% or above to be considered for our postgraduate taught courses. If your bachelor's degree is marked out of a GPA of 5.0, you will be required to have an average of at least 4.0.