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
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.
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:
- video lectures to stream or download
- reading materials
- discussion boards with colleagues and tutors
- the online resources of our award-winning Sir Duncan Rice Library.
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.
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.
You’ll be assessed entirely online via:
- a report describing the application of a suitable machine learning algorithm to address an example healthcare problem (70% of your total grade)
- a poster discussing a published application of machine learning in healthcare (30% of your total grade).
The course totals approximately 150 hours of study and assessment time. That’s around 10 – 15 hours per week.
This is an indicative guide to the time required for a typical student at this level to achieve the learning outcomes.
You can largely set your own study hours each week to cover the materials. MyAberdeen is available 24/7, so you can log in and study when it suits you.
Activities at fixed times
There may be some activities scheduled for fixed times, such as assessments with deadlines or meetings with your tutor. But otherwise, you can access and work through the course at your convenience.
Weekly on-campus tutorials
If you live locally and want to attend the weekly on-campus tutorials, they’ll:
- take place once a week, on the same day each week
- be two hours long.
Our first-class support structure will ensure that you aren’t alone in your studies. You’ll have contact with your tutors via MyAberdeen and email. You can use social media and discussion boards to chat with your fellow students too.
We provide a wide range of services to support you in your studies and beyond:
- Careers and Employability Service – including one-to-one advice sessions
- Disability support
- IT support
- Library support
- Student Support Service – help with finances, stress, wellbeing and non-academic issues
- Student Learning Service – study support, with advice sessions available via phone or Skype
- Aberdeen University Students’ Association (AUSA) – run by students for students
- Toolkit – clever apps and free training that can make your study life easier
Wherever you are in the world, you’ll feel part of our very special Aberdeen learning community.
Your course coordinator
Dr Dimitra Blana
Dimitra is an interdisciplinary health researcher with a background in biomedical and computer engineering. She has over 10 years’ experience working with health data and advanced modelling methods in the UK and the USA.View Dimitra’s profile
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 with more short courses
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
We welcome students from all over the world.
This course has no formal entry requirements. You do not need to provide proof of your qualifications.
But you do need to check the entry guidance above to understand the level of teaching delivered, to decide if this course is right for you.
If you do not have qualifications from the UK, check the equivalent teaching level for your country.
You do not need a visa to study online with us.
English language requirements
Teaching is delivered in English.
You do not have to provide proof of your English language skills to join this course. But we want to make sure that you can use English well enough to study successfully.
Recommended level of English
This course uses our Postgraduate Higher level of English language proficiency.
These are our Postgraduate Higher requirements, and these are minimum scores.
IELTS Academic and IELTS Online (not IELTS Indicator or IELTS General Training)
- 6.5 overall
- 5.5 for listening and speaking
- 6.0 for reading and writing
TOEFL iBT and TOEFL iBT Home Edition
- 90 overall
- 17 for listening
- 21 for reading
- 20 for speaking
- 21 for writing
- TOEFL DI code is 0818
Cambridge English: B2 First, C1 Advanced, or C2 Proficiency
- 176 overall
- 162 for listening and speaking
- 169 for reading and writing
LanguageCert International ESOL B2 Communicator (Written and Spoken)
- Overall High Pass
- 33 for listening, reading and speaking
- 38 for writing
PTE Academic (online test not accepted)
- 62 overall
- 59 for listening, reading, speaking and writing
For more information about language qualifications see our English Language Requirements page.
You will need access to:
A computer (PC, laptop or Mac) operating on either:
- Windows 10 or later
- macOS 10.15 (Catalina) or later.
Most teaching materials are smartphone- and tablet-friendly. But we recommend a proper laptop or desktop for completing assignments comfortably.
Reliable internet access
- a wired connection
- a minimum download speed of 2 Mbps so you can take part fully in live sessions.
Speakers or headphones
- We recommend a headset with built-in microphone and earphones if you’re likely to study in an environment with background noise.
- A webcam is optional, but you may like to use one from some interactive sessions.
We’ll give you access to Office365 applications. This means you can use online versions of Microsoft Word, Excel, and PowerPoint and install these programs on up to five personal devices.
If your course requires specialist software, we’ll provide you with access to this and a licence that lasts throughout your studies.
See our detailed IT requirements for more information.
When you study with us, you can expect a first-class support structure so that you’re never alone in your studies.
But learning online does mean you have to motivate yourself and manage your own time.
Your most important commitment to your course will be time – the time to work through, reflect on and understand your teaching materials.
Before you start a course that involves a high degree of independent study, we recommend looking at the time you will be able to devote to your course each week:
- Be realistic
- Create a weekly schedule as a guide
If you have any questions about studying online, get in touch with our friendly team. We’re here to help.
Your course fee needs to be paid in full before you start your course.
We accept payment via Visa Debit, Visa Credit and Mastercard.
Ways to save
You may be able to get help funding this course via:
- discounts – if any discounts are available for this course, they’ll appear in the section below
- employer sponsorship – we accept full and partial fee payments from sponsors.
Find out more about funding options.
All our students are entitled to a University of Aberdeen student card. This gives you access to a range of student discounts around the city and online.
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