Studyportals
Master Online

Data Science for Health and Social Care

The University of Edinburgh

36 months
Duration
5735 GBP/year
5735 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This flexible online Data Science for Health and Social Care programme from The University of Edinburgh is aimed at people working in health or social care or computational roles who are interested in starting a career in data science and graduates who are seeking to develop data science skills that can be applied in health, social and care services. 

Overview

By studying the Data Science for Health and Social Care 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

Programme 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

Key information

Duration

  • Part-time
    • 36 months

Start dates & application deadlines

Credits

180 alternative credits
  • MSc - 180
  • PgCert - 60
  • PgDip - 120
  • PgProfDev - 50 

Delivered

Online

Academic requirements

GPA admission requirements GPA
Upper Second Class

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. 

Tuition Fee

To alway see correct tuition fees
  • International

    5735 GBP/year
    Tuition Fee
    Based on the tuition of 5735 GBP per year during 36 months.
  • National

    5735 GBP/year
    Tuition Fee
    Based on the tuition of 5735 GBP per year during 36 months.
  • PgProfDev: 10 credits £960; 20 credits £1,915 

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science for Health and Social Care
-
The University of Edinburgh

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