About this degree
The programme provides students with a sound background in statistical theory as well as specialist knowledge in medical statistics and data science skills that are essential to undertake health research studies. The taught component equips students with tools for designing and analysing studies in the fields of drug discovery, epidemiology, public health and disease prevention, in particular to evaluate new treatments, investigate associations between health outcomes and risk factors and develop risk prediction models. The research project provides hands on experience with analysis of real clinical data sets and interpretation of the results.
Who this course is for
The programme is accessible to students with undergraduate degrees in a related quantitative discipline (such as mathematics, statistics, economics, actuarial science), who wish to gain advanced training in theory and application of medical statistics with an aim to enter specialist employment or academic research in this area.
What this course will give you
One of the strengths of UCL Statistical Science is the breadth of expertise on offer; the research interests of staff span the full range from foundations to applications, and make important original contributions to the development of statistical science.
In particular, there is considerable expertise within the department in medical statistics. Staff members carry out research into new statistical methodologies relevant to health care data, and also work on a variety of collaborative applied health projects including cancer, dementia, mental health and critical care.
UCL is linked with four NHS hospital trusts and hosts three Biomedical Research Centres, , four Clinical Trail Units and an Institute of Clinical Trials and Methodology. Established links between UCL Statistical Science, the NIHR UCLH/UCL Biomedical Research Centre and the Clinical Trial Units provide high-quality biomedical projects for Master's students and opportunities for excellent postgraduate teaching and medical research.
