Overview
The curriculum is designed to teach you the critical data science skills necessary for modern health and social care environments. You will gain knowledge of the fundamentals of data science, developing skills that will enable you to interpret, analyse, and interrogate data to make decisions in the health and social care sector.
Through a blend of theoretical knowledge and practical application, this programme equips you to harness data effectively to drive decision-making and implement evidence-based solutions in your professional setting.
Whether you’re looking to enhance your current role or pivot to a new sector within health and social care, this programme offers the tools and insights to propel your career forward.
Career opportunities
Graduates of the Data Science for Health and Social Care (Online Learning) programme from The University of Edinburgh are well prepared to step into a variety of roles that bridge the gap between data science and healthcare. With the skills to analyse and interpret complex data, you can drive innovation and improvement in healthcare delivery, policy and management.
Sectors and roles
- Public health and epidemiology: Using data to track disease trends and inform public health decisions.
- Hospital and healthcare systems: Enhancing patient care through data-driven management and operational efficiencies.
- Pharmaceuticals and research: Conducting data-intensive studies to develop new drugs and treatments.
- Healthcare consultancy: Advising healthcare organisations on data strategy and implementation.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data visualisation: knowledge transfer
- Health and social care delivery and organisation
- Managing and leading data-driven innovation
- Digital technologies in health and social care
- Data security and protection in health and social care
- Data Ethics in Health and Social Care
- Data Types and Structures in Python and R
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 36 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- Starting
- Apply before
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- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
- April, January intakes only for PgProfDev
- It is encouraged you apply at least one month prior to entry so that there's enough time to process your application.
Language
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Credits
- PgDip - 120 credits
- PgCert - 60 credits
- PgProfDev - up to 50 credits
Delivered
Disciplines
Data Science & Big Data Health Informatics View 13 other Masters in Health Informatics in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic 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.
- It 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 programme 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.
- PgProfDev: 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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