The programme has been designed to fulfil the aspirations and needs of all sectors that we need to develop a world-class health informatics workforce that is integral to multi-professional teams with the technical, methodological and communication skills to be able deliver high-quality, innovative healthcare delivery, in a range of settings.
MSc in Health Data Science looks to promote the needs for translational thinking in order knowledge, know-how, skills and understanding will be applied across new challenges.
The nature of the field will be of benefit to those with a variety of backgrounds, but the structure of the programme ensures that students will share this knowledge with each other and learn to work in multi-disciplinary teams rather than in specialist silos, which is often the case. This programme emphasises the importance of being able to work effectively within a team.
The current model of healthcare delivery in the UK is subject to unprecedented challenges. An ageing population, the impact of lifestyle factors and increasing costs mean that the existing approaches will become unsustainable. This, coupled with a drive to personalised medicine, presents an opportunity for a step change in healthcare delivery. To do this we need to make best use of the health data we collect and to create a better understanding of the relationship between treatments, outcomes, patients and costs. This requires individuals who understand the healthcare sector and medicine; how data is collected and analysed, and how this can be communicated to influence various stakeholders.
This programme will create a new breed of scientist able to work across all three sectors.
Health Data Scientists will be at the forefront of this step change in the delivery of healthcare.
The course has nine taught modules covering key skills for health data science. Seven modules are core and there is one optional module depending on training needs and background. For those studying for an MSc a 60 credit research project.
An honours degree (Minimum 2:1) in a mathematics, statistics, computer science, physical science or biomedical science including epidemiology, biological sciences or medicine/nursing from a recognised institution. An approved and relevant postgraduate qualification (minimum postgraduate diploma or equivalent) or equivalent of previous advanced study, research and/or relevant professional experience, which the University accepts as qualifying the candidate for entry. In the case of non-UK applicants the institution certifying advanced study must be recognised and approved by the University. Candidates may be accepted for entry to the Diploma track with a class of degree of 2:2 or under subject to interview.
Recipient: University of Manchester
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