Data Science for Health and Social Care (Online Learning) (ICL) (PG ProfDev) - 2 Years
University of Edinburgh · Scotland · PTPDVDSHSC1UHTM
Data Science for Health and Social Care (Online Learning) (ICL) (PG ProfDev) - 2 Years is a degree at University of Edinburgh, Scotland. It covers areas like data science, digital health, data analytics, database systems, data structures, statistical computing. The summary below is compiled from public course information — approximate, not official.
University of Edinburgh
What you'll study in Data Science for Health and Social Care (Online Learning) (ICL) (PG ProfDev) - 2 Years
Example subjects: Introduction to statistics in health and social care, Data visualisation: knowledge transfer, Managing and leading data-driven innovation, Digital technologies in health and social care, Data standards and core technologies in health and social care, User-driven service design in health and social care, Data security and protection in health and social care, Introduction to databases and information systems, Big data analytics, Implementation science: putting evidence-based interventions into practice, Data Ethics in Health and Social Care, Foundations of software development in health and social care.
Frequently asked questions
What will I study in Data Science for Health and Social Care (Online Learning) (ICL) (PG ProfDev) - 2 Years?
Data Science for Health and Social Care (Online Learning) (ICL) (PG ProfDev) - 2 Years covers areas like digital-health, social-work-practice, data-science, digital-transformation, data-analytics, community-nursing, statistical-computing, health-informatics.
Who offers Data Science for Health and Social Care (Online Learning) (ICL) (PG ProfDev) - 2 Years?
Data Science for Health and Social Care (Online Learning) (ICL) (PG ProfDev) - 2 Years is offered by University of Edinburgh, Scotland.
Considering Data Science for Health and Social Care (Online Learning) (ICL) (PG ProfDev) - 2 Years?
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Sources: University of Edinburgh official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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