MRes Scholarship: The potential for using Big Data Analytics in the NHS Wales

The potential for using Big Data Analytics in the NHS Wales

Faculty of Computing, Engineering and Science, University of South Wales

Project ID: 20824
Annual Stipend: circa £11 k p.a
Application Deadline: Midnight, 16th July 2017

Project Outline:

Here is an exciting opportunity to investigate how Big Data Analytics can be applied in the National Health Service. The research has the potential to not only enable the successful candidate to learn new skills but also for them to make a significant difference to the way in which data is used to benefit all those that make use of the National Health Service.

This is a funded MRes, including a generous stipend and tuition fees, with well-resourced circumstances for a successful scholarship.

The selected candidate will apply their computing and analytic skills to data already collected by NHS Wales Informatics Service (NWIS). This collaborative research project will allow the student to develop transferable knowledge and skills in the new and developing field of Big Data Analytics.

This Knowledge Economy Skills Scholarship (KESS 2) project will be held in the Faculty of Computing, Engineering and Science at the University of South Wales. KESS 2 is a programme funded by the European Social Fund (ESF) awarded by the Welsh European Funding Office (WEFO) in the Welsh Government.

The project will be carried out in collaboration with NHS Wales Informatics Service (NWIS).

Programme of research:

The MRes scholar will investigate the potential and limitations of Big Data Analytics application within the National Health Service. It is envisaged that the research will progress along three parallel and concurrent tracks:

  • A mapping of NWIS data resources. The envisaged outcome would be a clear and unambiguous inventory of what data is collected, stored, and used.
  • An analysis of the potential for using Big Data Analytics to improve the operational outcomes of NWIS. This part of the MRes would include an analysis of what has been achieved in similar and cognate organisations to NWIS, together with an appraisal of the various software solutions that have been deployed elsewhere.
  • The development of a prototype demonstration that will show how Big Data Analytics could be gainfully employed within NWIS.

Due to the proximity of NWIS to the University, it is envisaged that the MRes candidate will spend on average a day a week at their offices.  This will enable the candidate to have the necessary access to the data warehouses.

Studentship:

The studentship will cover the fees for a 1-year full-time MRes programme and pay a stipend of circa £11 k p.a. There is also around £3k project support costs available for consumables, travel/conference attendance, minor equipment, training (including the KESS Grad School) and conference attendance.

The position is available from 1st October 2017

Eligibility of Student:

To be eligible to hold a KESS 2 studentship, you must:

  • have a home address in the Convergence area (details below)* at the time of registration.
  • have the right to take up paid work in the Convergence area* on completion of the scholarship.
  • be classified by the University as ‘home’ or ‘EU’ for tuition fees purposes according to the University’s guidelines.
  • satisfy University of South Wales’s admissions criteria: see below, qualifications and experience and application process

*The Convergence area covers West Wales and the Valleys, and is made up of the following 15 local authorities: Isle of Anglesey, Gwynedd, Conwy, Denbighshire, Ceredigion, Pembrokeshire, Carmarthenshire, Swansea, Neath Port Talbot, Bridgend, Rhondda Cynon Taf, Merthyr Tydfil, Caerphilly, Blaenau Gwent and Torfaen.

Qualifications and experience:

Eligible applicants will:

  • Have a degree (2i or higher) in an appropriate computing or mathematical discipline
  • Possess a reasonable understanding of databases and programming
  • Be highly self-motivated, with capacity to learn and develop analytical techniques
  • Have well-developed and positively collaborative interpersonal skills
  • Have an ability to deliver technical reports and communicate findings

Application Process:

To download an application package, please visit:  Participant Application Package

For any queries on eligibility, please contact:  KESS Team at Research and Innovation Services, University of South Wales: kess@southwales.ac.uk  Tel: 01443 482578

For informal enquiries or further programme information, please contact: Prof. Andrew Ware (andrew.ware@southwales.ac.uk).

Further information at: http://staff.southwales.ac.uk/users/292-jaware

Closing date for applications:  Midnight 16th July 2017

(Interviews will be held w/c 17th July 2017)

Knowledge Economy Skills Scholarships (KESS 2) is a pan-Wales higher level skills initiative led by Bangor University on behalf of the HE sector in Wales. It is part funded by the Welsh Government’s European Social Fund (ESF) convergence programme for West Wales and the Valleys.

Due to ESF funding, eligibility restrictions apply to this scholarship. To be eligible, the successful candidate will need to be resident in the Convergence Area of Wales on University registration, and must have the right to work in the region on qualification.