Published on: 23rd November 2017
A bursary scheme, funded by the Health and Care Research Wales and The Farr Institute Swansea University, has proved to be a great success funding ten NHS professionals over the last three years to study for a Masters in Health Data Science – equipping them with the essential skills needed to manage and analyse data within the NHS.
The NHS holds a wealth of data which can be used to better understand patients as well as to inform decision making, performance and service innovation. However, the right knowledge, skills, and understanding are needed in order to make best use of this data.
The MSc in Health Data Science, run by Health Informatics Group’s teaching team at Swansea University Medical School, is designed for healthcare professionals and those working with data, and offers an integrated programme of studies tailored to the essential skill set required for Data Scientists operating within healthcare organisations. The course, which can be studied full or part-time, covers key topics in computation, data modelling, visualisation, machine learning and key methodologies in the analysis of key linked health data.
Richard Thomas, All Wales Cardiac Informatics Manager, Aneurin Bevan University Health Board, commented, “The MSc Health Data Science programme has allowed me to develop my role within the Health Board utilising the skills and learning around health data modelling and linked data analysis to enhance existing data reporting within Cardiac Services across Wales.”
Professor Ronan Lyons, Clinical Professor of Public Health and Director of the Farr Institute Swansea University, added, “Health Data Science is a fast growing area of importance to the NHS and we are delighted to have supported NHS staff to be able to gain the skills needed to work effectively and confidently with health data. Making meaningful analytical use of data has the potential to help the NHS make better decisions across the board.”
Enquiries to Sarah Toomey, Communications Officer, Farr Institute CIPHER, email@example.com