Recent advances in Artificial Intelligence (AI), ubiquitous sensing and wearable technologies have led to their increased adoption in digital healthcare. The major information and communication technology, electronics and start-up companies are increasingly adopting AI to provide a range of smart solutions for patients’ hospital and home cares.
The innovative AI-based solutions enable more performing diseases diagnoses, personalised treatment plans, together with advanced assistive technologies, for sustainable patients health monitoring and tailored response to their care.
The aim of this course is to build a workforce of AI specialists in the area of digital health. Our graduates will understand the challenges in designing and deploying AI-driven digital health products in an industry where regulation, responsibility and legal implications are of paramount importance. They will also capture the requirements for adopting AI solutions to digital healthcare, with assurances of their ethical, safe and effective deployments.
This course will support you to develop a strong professional capability for adopting modern healthcare needs, together with the technical skills you will require for adopting digital healthcare and AI. You will acquire a strong technical understanding of digital healthcare technologies combined with AI; which are essential in advancing 21st-century digital healthcare in the years to come.
The option units will enable you to tailor your progressive learning towards the areas that interest you, including from neuronal analysis, smart systems, computer vision to Blockchain.
As a graduate of this course, you will be prepared to undertake employment positions such as AI Scientist, AI Product Director, Clinical AI Fellow and many more.
See Course details for information including how this course will be delivered safely if you’re starting in January 2021 in response Covid-19.
Next start date:
January 2021, September 2021, January 2022, September 2022
Bournemouth University, Talbot Campus
1 year full-time or 2 years with a 30-week placement (September start), 18 months full-time or 30 months with a 30-week placement (January start), 2 years part-time
Computing, Technology, Maths, Physics, Engineering, Data Sciences or Data Analytics
A Bachelors Honours degree with 2:2 in a required subject, or equivalent.
International entry requirements:
If English is not your first language you'll need IELTS 6.0 (Academic), with a minimum of 5.5 in each component. For more information check out our full entry requirements.