Professional/Short course AI, Computer Vision and Applications in Healthcare
30 credit Masters level module
Page last updated 7 February 2022
The Introduction to AI, Data Analytics and their Application in Healthcare module aims to provide the platform to introduce data analytics and programming that will enable you to understand simple machine learning and informatics, as well as the broad applications and implications of AI and computer vision in healthcare. By the end of this 30 credit Masters level module, you will be able to complete basic programming, recognise the different types of health and healthcare data and apply imaging processing and machine learning approaches to better utilise this data.
Careers / Further study
This 30 credit Masters level module can contribute towards the MSc Health Technology.
The course syllabus includes:
- Introduction to AI, data analytics and their application to healthcare
- Mathematics and computer programming fundamentals for data science
- Simple computer vision and machine learning
- Health informatics and big data frameworks
- Medical imaging
- The future of computer vision and machine learning in healthcare
- Defining cyber security.
Learning and Teaching
The module content will be delivered through a combination of lectures (with embedded interactive sessions as appropriate) and computer lab sessions.
There are three pieces of assessment: a two hour exam and two written reports (a literature review and a data analysis report).
The Faculty of Health and Applied Sciences has an excellent reputation for the quality of its teaching and the facilities it provides.
You'll have access to a range of on-campus and online facilities to support your learning, including the University Library which is open 24 hours a day.