Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 1 year full-time, 2 years part-time, 5 years flexible
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.
You will learn how to link, characterise, and analyse large complex datasets, such as electronic health records. You will also learn how to design and carry out complex and innovative health research studies that take advantage of the increasing amount of available biomedical data about the health, behaviour, and genetic makeup of small and large populations. The programme draws on a range of areas, including health informatics, health data science, clinical epidemiology, computer science, biomedical statistics, and other fields, such as genetics.
Who this course is for
The programme provides a good grounding in statistics and scientific programming, and no prior knowledge is assumed. However applicants should ensure that evidence of their readiness for this kind of training is clearly presented either through their educational history or in their personal statement. Applicants whose first degree has little or no numerical content are unlikely to be accepted.
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.
For fees and funding options, please visit website to find out more
UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.
The programme is designed to meet a need, identified by the funders of health research and by a number of industrial organisations and healthcare agencies, for training in the creation, management and analysis of large datasets. This programme is practical, cross-disciplinary and closely linked to cutting-edge research and practice at UCL and UCL’s partner organisations. Data science is a rapidly growing field of employment at the moment and employers recruiting in health data science include government agencies, technology companies, consulting, and research firms as well as scientific organisations.
Employability
Today, some of the most exciting, stimulating and productive research is carried out using large collections of data acquired in big collaborative endeavours or major public or private initiatives. As a student on this programme, we will work with you to develop your passion and interest in this area of research. You will gain skills for a career as an entrepreneur, scientist or manager, working in industry, academia or healthcare.
Compulsory modules
Optional modules
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change
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