Overview
In this Machine Learning for Healthcare course at the University of Aberdeen, you’ll explore:
- how machines analyse and learn from health data to improve human health, and
- how we ensure the application of AI in healthcare is trustworthy, ethical and inclusive.
Careers
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 or health data scientist Career pathways span academia, the NHS and industry.
Programme Structure
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
Key information
Duration
- Part-time
- 4 months
Start dates & application deadlines
- StartingApply anytime.
Language
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Credits
Delivered
Campus Location
- Aberdeen, United Kingdom
Disciplines
Health Informatics Machine Learning View 26 other Short Courses in Health Informatics in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
There are no formal entry requirements for either the credit-bearing or CPD version of this course. You decide if the level of learning is suitable for you.
Teaching is delivered at Masters level. At this level, for this course, you’d usually have at least:
- a 2:2 UK undergraduate degree (or equivalent), or
- relevant experience that supports this level of study.
Tuition Fees
-
International Applies to you
Applies to youNon-residents1395 GBP / full≈ 1395 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents1395 GBP / full≈ 1395 GBP / full