
Overview
By studying the Data Science for Health and Social Care (Online Learning) programme from The University of Edinburgh you will:
- 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
Why Edinburgh
By choosing to study with us you will:
- 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
Career opportunities
Our suite of data-driven courses will:
- equip you with the data skills, capabilities, and competencies that will allow you to realise the value of data in your current role
- open opportunities new career paths and promotion opportunities as they arise across the health and social care sector
Graduates from health and social care backgrounds
If your background is in health and social care you will be highly competitive for post-graduate training schemes in health service research and practitioner training positions. You will also be highly competitive for leadership positions in your area of health or social care.
Graduates from computational backgrounds
If your background is computational work or study you will be highly competitive for post-graduate training schemes in data science, data scientist roles and advanced practitioner training positions within the health and social care sector.
Entrepreneurial opportunities
Entrepreneurial graduates will have the commercial awareness and venture creation skills needed to take up opportunities to work for or grow the next generation of data-driven health and social care companies.
Examples of job roles
Some examples of job roles include:
- health and social care data scientists and knowledge engineers
- health and social care data management
- management information system developer
- software developer
- information security manager
- data analysts
- senior clinical positions
- civil service, government
- social care, health policy and leadership
- health and social care positions
- data science in health and social care entrepreneurs
- health economists
Get more details
Visit university websiteProgramme Structure
Courses include:
- Data ethics and ownership
- Data standards and core technologies in health and social care
- Digital health and social care
- Data Analysis with R
- Managing and leading data-driven innovation
- Health, social and care services delivery and organisation
Check out the full curriculum
Visit university websiteKey information
Duration
- Part-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
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- We strongly recommend you submit your completed application as early as possible, particularly if you are also applying for funding or will require a visa. We may consider late applications if we have places available.
Language
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Credits
- MSc - 180
- PgCert - 60
- PgDip - 120
- PgProfDev - 50
Delivered
Disciplines
Data Science & Big Data Health Informatics View 16 other Masters in Health Informatics in United KingdomExplore more key information
Visit university websiteAcademic requirements
English requirements
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Other requirements
General requirements
- A UK 2:1 honours degree, or its international equivalent, in a health-related degree or in a relevant subject appropriate to the programme of study such as life sciences, social sciences, mathematics, statistics, engineering, computer science or other related discipline.
- We may also consider your application if you have a minimum of 3 years' relevant work experience; please contact the programme team to check before you apply. You may be admitted to certificate level only in the first instance.
Make sure you meet all requirements
Visit university websiteTuition Fee
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International
6370 GBP/yearTuition FeeBased on the tuition of 6370 GBP per year during 36 months. -
National
6370 GBP/yearTuition FeeBased on the tuition of 6370 GBP per year during 36 months.
MSc: 10 credits £1,065; 20 credits £2,125; 60 credits £6,370
- PgCert, PGDip: 10 credits £1,065; 20 credits £2,125
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science for Health and Social Care (Online Learning).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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