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Health Data and Analytics

Explore key concepts in data analytics, systems theory and information governance, and apply them to healthcare decision-making.

2,195 enrolled on this course

A stethoscope lying near a computer keyboard and over data graphs
  • Duration

    4 weeks
  • Weekly study

    4 hours

Find out how to leverage data analytics to improve decision-making in healthcare

This online course explores the intersection of data analytics and healthcare. By the end of the course, you will know how to apply common frameworks and key concepts in data analytics, systems theory and information governance.

The course starts by examining how healthcare data is collected and stored. It then goes on to explore how information management methods, machine learning and data visualisation are used in data analysis.

You will learn to leverage data analysis tools and techniques to inform better decision-making in healthcare.

What topics will you cover?

  • What is healthcare data? Why is it important? What are the current challenges?
  • How to address the unique data challenges facing healthcare.
  • How can data impact healthcare innovation?
  • How to develop a healthcare data proposal.

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Explore healthcare data and understand key terminology and concepts.
  • Identify key data challenges currently facing healthcare.
  • Identify current trends and approaches in dealing with challenges and limitations related to healthcare data.
  • Investigate how continual adjustments to data-centric health systems can be embedded within such systems to improve healthcare and health analytics.
  • Assess the tension between competing interests and needs of stakeholders in relation to the analysis of healthcare data.
  • Identify changes in medicine over the last 20 years.
  • Assess the objectives of personalised medicine and the way data aggregation is impacting its development.
  • Discuss the relationship between digital health and consumerisation of healthcare data.
  • Develop a project proposal that identifies a problem, and address the key aims and objectives in solving the issue.

Who is the course for?

This course is suitable for anyone interested in big data or health, particularly those working in public or private healthcare organisations or academic research in this area.

Who will you learn with?

I am a chartered engineer, and my research interests are centred on digital health and its application to global public health challenges.

I am a founding director at Health iQ - a UK-based, award-winning data science firm.
My background spans public health and NHS informatics and I'm an Honorary Researcher at Imperial College London.

I am a healthcare data strategy specialist and I've supported a number of NHS organisations in the development of their data architecture, capability and tools.

Who developed the course?


The European Institute of Innovation and Technology is a unique EU body boosting Europe’s ability to innovate, creating pan-European partnerships to find innovative solutions to global challenges.

EIT Health

EIT Health promotes healthy living, active ageing and improvements in healthcare.

Endorsers and supporters

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Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

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