Health Data Science University of Manchester

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 personalized 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 analyzed, and how this can be communicated to influence various stakeholders ( Health Data Scientists (HDSs)). The programme is aimed at students who are based in the workforce who are currently employed in the NHS, industry and academia, as well as beginning to create a new breed of scientist able to work across all three sectors.The programme will provide the student with skills required to deal with the gathering and analysis of complex datasets as well as an understanding of the clinical, engineering, social, ethical, and management issues surrounding them.

pgt.medicine@manchester.ac.uk Website

  • MSc
  • English
  • Part time

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 personalized 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. 

The programme is aimed at students who are based in the workforce who are currently employed in the NHS, industry and academia.

Aims

The course aims to provide participants with the key skills to work as a Health Data Scientist in a variety of sectors and organisations.  At the end of the course students will have knowledge and skills in:

  • a range of health information systems and technologies
  • how to manage and analyse large scale data
  • ethics and governance issues around health data
  • statistical and machine-learning methods
  • the healthcare context, processes and environment
  • clinical and biological problems
  • working in inter-disciplinary teams

An honours degree (Minimum 2:1) in a physical science or engineering or biomedical science from a recognised institution. An approved and relevant postgraduate qualification 

equivalent of previous advanced study, research and/or relevant professional experience, which the University accepts as qualifying the candidate for entry.

Candidates may be accepted for entry to the Diploma track with class of degree of 2:2 or under subject to interview, and be moved to the Masters track on achieving suitable results in the taught part of the course. 

Admission Requirements:
  • Bachelor
Cost of the master: Not declared
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University of Manchester

Health Data Science

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  • Manchester - United Kingdom September 7, 2020
Why Study in the Faculty of Medical and Human Sciences at the University of Manchester?

Why Study in the Faculty of Medical and Human Sciences at the University of Manchester?

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Detail of origin:
Europe
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Italy
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Gender:
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Job Experience:
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Age of participants:
  • Under 25

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  • 26 - 30

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  • 31 - 35

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Total:
575
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