The MSt (flexible) in Healthcare Data: Informatics, Innovation and Commercialization is *only open to those who have successfully completed and passed the Postgraduate Diploma (Flexible) Healthcare Data: Informatics, Innovation and Commercialization at Cambridge. * This is a 10 month, part-time Master’s-level course resulting in 60 FHEQ Level-7 credits and the University of Cambridge Masters award. Cambridge is a world leading centre for innovation in electronic patient and clinical trial data. This is underpinned by an extensive and vibrant community of clinicians, researchers, entrepreneurs, and commercial and public sector organisations. There is a recognised shortage of the appropriate technical and practical skills in the workforce to effectively utilise the opportunities presented by healthcare data. This course has been designed to meet the skills gap in the management, handling and utilisation of healthcare data and to develop individuals confident in using healthcare date for innovative and/or commercial applications.
The MSt (flexible) in Healthcare Data: Informatics, Innovation and Commercialization builds on the teaching and learning taken during the PG Certificate and PG Diploma (flexible) course years. During the course students undertake the development of a research dissertation, worth 60 credits. This is a part-time course designed to fit with the demands of full-time employment. The course is delivered using blended learning methods through a combination of face-to-face sessions requiring attendance in Cambridge and synchronous online teaching sessions, self-directed learning and supported through a virtual learning environment [VLE]. 60 credits is roughly equivalent to 600 hours of study. This is an indicative amount and it is recognised that individuals may engage in greater or lesser amounts of study. Each student will be assigned a named supervisor and will work with them to identify preferred ways of working (face to face or remote supervision) and patterns of supervision over the year. The supervisor will be agreed by the course director following discussion with, and based upon the research interest of, the student Specific small-group taught sessions will be provided on research and academic writing skills relevant to both the completion of the dissertation and the literature review. These will be primarily delivered early in the academic year. Around 5 hours of supervision will be provided that is directly relevant to the dissertation or literature review. This will be complemented by small-group sessions exploring the research and academic writing skills needed to complete a dissertation or literature review.
Applicants for this course are expected to have achieved a UK 2.i honours degree or equivalent. It is preferred that an applicant's first degree be in a subject relevant, or related to, life sciences, medical sciences, computational or data science.
Fees and funding
|Northern Ireland||£11334||Year 1|