Machine learning has the potential to revolutionise healthcare.

How do machines analyse and learn from health data to improve human health? And how can we ensure the application of AI in healthcare is trustworthy, ethical and inclusive?

Join our online Machine Learning for Healthcare course and discover:

  • what machine learning is, and how it can be applied to healthcare problems
  • the potential benefits of machine learning for the health of individuals and populations
  • the technical, legal and ethical challenges of using AI in healthcare.

Study with us anywhere, online, with experts from our Centre for Health Data Science, the NHS and industry. And set your own study hours on this course that fits around full-time work.

Build credits towards a Masters degree

This online short course is part of our MSc in Health Data Science. Complete this short course successfully and you’ll earn credits towards this Masters qualification with the University of Aberdeen.

Who is this online machine learning course for?

This course is ideal if you have:

  • a background in healthcare or health research and want to learn more about machine learning, or
  • a background in computational or data-intensive sciences and you’re keen to work in the health sector.

Supported by Canon Medical, NHS Grampian, Kheiron Medical and Opportunity North East.

Experts from these organisations help to:

  • develop and review what you learn on our health data science courses
  • ensure your learning addresses in-demand sector needs.

They may deliver guest teaching too.

What you’ll study

You’ll cover topics including:

  • supervised and unsupervised machine learning methods
  • preparing datasets for machine learning
  • evaluating the performance of machine learning algorithms
  • theory and implementation of artificial neural networks
  • machine learning approaches to natural language processing
  • case studies of machine learning applications using health data
  • the machine learning workflow using the popular data science language R
  • technical, ethical and legal challenges in the field
  • active areas of research in machine learning.

By the end of this course, you’ll be able to…

  • Describe the machine learning workflow.
  • Explain how machine learning is used to address healthcare problems.
  • Relate a range of healthcare problems to appropriate machine learning algorithms.
  • Discuss current challenges with implementing machine learning in healthcare.
  • Apply machine learning methods using R to address healthcare problems.

How you’ll study

Online learning

This distance-learning Machine Learning for Healthcare course is delivered flexibly, 100% online. You can study with us anywhere in the world and manage your study hours to suit you.

Your teaching

This course is taught at Masters level.

Your teaching is delivered through MyAberdeen, our online Virtual Learning Environment (VLE). It holds all the materials, tools and support you’ll need in your studies. Take a look around MyAberdeen.

You can access your learning materials on computer, smartphone and laptop, 24 hours a day. You’ll find a range of resources at your fingertips, including:

  • videos
  • video lectures to stream or download
  • quizzes
  • reading materials
  • discussion boards with colleagues and tutors
  • the online resources of our award-winning Sir Duncan Rice Library.

One-to-one tutorials

You’ll have lots of direct support while you study with us on this course. If you live locally, there will be weekly on-campus tutorials you’re welcome to attend at our Foresterhill Health Campus in Aberdeen. If you’re studying remotely, you’ll have the same support online via one-to-one online tutorials with your course tutors.

Your tutors

You’ll learn from a multidisciplinary team of experts in health research, engineering, computing, ethics and law. This course is delivered jointly by our School of Medicine, Medical Sciences and Nutrition and our School of Natural and Computing Sciences.

Your course coordinator

Where this will take you

Towards a Masters

You’ll earn 15 credits at Masters level (SCQF Level 11) with this course. You can use these credits towards our:

Masters in Health Data Science

  • Study full-time or part-time on campus.

Build your learning

We have a range of online healthcare and medicine short courses you can use to build your skills.

Many carry credits you can build up into postgraduate qualifications, including Masters degrees:


Nationally and internationally, there is a critical shortage in data-intensive analytic capacity applied to healthcare.

This course is a perfect first step for building your machine learning skills towards a career in health data science. It will help you work towards a career as a:

  • health data analyst
  • health data scientist.

Career pathways span academia, the NHS and industry.

Continuing Professional Development (CPD)

Your employer or professional institute may recognise this course for CPD. Talk to your employer or institute to find out more.

Free career support

Access our free careers service while you study.

  • 1:1 appointments
  • CV checks
  • Interview prep
  • Job opportunities

See how our careers service can help you.

Entry requirements

This course has no formal entry requirements. You decide if it’s suitable for you.

The course is delivered at Masters level. At this level, you’d usually have at least:

  • a 2:2 (second-class) undergraduate degree
  • or relevant experience that supports this level of study.

Apply for this course

Start date
23 January 2023
Added to your wishlist