Course summary
Data is revolutionising the way health and social care is delivered. The demand for health and social care professionals with data science skills is unprecedented. This flexible online programme is aimed at:
- people working in health or social care or computational roles who are interested in starting a career in data science
- graduates who are seeking to develop data science skills that can be applied in health, social and care services
- gain knowledge of the fundamentals of data science
- develop expertise in accessing, interpreting and integrating data-intensive research into practice
- build the knowledge and skills to engage effectively with data-driven approaches to health and social care
- learn a range of skills, tools and understanding to use the transformational power of data to improve health and wellbeing and the management of care systems locally and globally
- be joining one of the top 20 universities in the world (QS World University Rankings 2021)
- benefit from our strong track-record of Data-Driven Innovation (DDI)
- become a student of the prestigious Usher Institute (part of the University), which is a world leader in DDI and one of five DDI hubs in Edinburgh and South East Scotland
- be able to customise your learning experience by selecting optional courses delivered by our world-renowned experts and leaders across the University
- have access to modern, intuitive fully accessible and responsive technology tools and systems
- benefit from access to real-world data through DataLoch, a cutting-edge repository of health and social care data
- join our vibrant, evidence-led cross-disciplinary community of academics and researchers
- be part of a cohort of international students focused on shaping the future of health and social care
- Scotland’s world-leading health data assets
- well-established governance and data-sharing protocols developed in partnership with the National Health Service and the Scottish Government
- conducting research
- advising the Scottish and UK governments
- providing global public health advice and data
- real life and synthetic datasets
- best practice protocols
- database management pipelines
- application programme interface codes
- teaching (including case studies, problem-based learning activities and assignments)
- when you’re undertaking your research project in the final year of the degree
Modules
See the University of Edinburgh website for detailed programme information.
Entry requirements
Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Provider information
The University of Edinburgh
Student Recruitment and Admissions
33 Buccleuch Place
Edinburgh
EH8 9JS