UCL (University College London)
Data Science for Research in Health and Biomedicine
Students will become expert in the linkage and analysis of large complex datasets, using techniques which are transforming medical research and creating exciting new commercial opportunities. Graduates will be equipped for roles in the pharmaceutical industry, the NHS and technology start-ups, as well as academia.
A minimum of an upper 2nd Class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element.
Core modules: applications of electronic health records research; data management for health research; statistics for epidemiology and public health; statistical methods in epidemiology; topics in health data science; options: advanced statistics for records research; database systems; information retrieval and data mining; principles of health informatics; statistical computing and data visualisation using R; statistics for interpreting genetic data; understanding bioinformatics resources and their application.
The programme is delivered by clinicians, statisticians and computer scientists from UCL and the London School of Hygiene and Tropical Medicine, including leading figures in data science. We use a combination of lectures, practical classes and seminars. A mixture of assessment methods is used including examinations and coursework.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||£ 8,755 per Academic year (home fees)||1 years|
|MSc||Full-time||£ 22,350 per Academic year (overseas fees)||1 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
020 3549 5300