Course summary
This programme covers computational and statistical methods applied to large and complex biomedical data in order to improve health and healthcare through medical research. As part of this programme, you will gain an understanding of techniques that are transforming medical research and creating exciting new commercial opportunities. Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.
Entry requirements
A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element. Students are expected to understand the basic concepts of statistics, such as sampling and variation and to be familiar with simple statistical tests, such as those used in the medical literature for hypothesis testing. A self-paced online programme is available for students who want to revise this material at the start of the academic year. English level: Level 2
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
Provider information
UCL (University College London)
Gower Street
London
WC1E 6BT