Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

Advances in Artificial Intelligence (AI), ubiquitous sensing and wearable technologies have rapidly led to their adoption in digital healthcare. Hospitals and healthcare industries are using AI to provide effective and smart solutions for patients care. Why study MSc Digital Health and Artificial Intelligence at BU?

  • 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
  • Graduate as an AI specialist in the area of digital health – you’ll 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
  • Capture the requirements for adopting AI solutions to digital healthcare, with assurances of their ethical, safe and effective deployments
  • Develop a strong technical understanding of digital healthcare technologies combined with AI - essential in advancing 21st-century digital healthcare in the years to come
  • Tailor your learning towards the areas that interest you, with option units covering topics such as neuronal analysis, smart systems, computer vision and Blockchain.
  • Advances in Artificial Intelligence (AI), ubiquitous sensing and wearable technologies have led to their increased adoption in digital healthcare. Companies are increasingly adopting AI to provide smart solutions for patients’ hospital and home care.
Advances in Artificial Intelligence (AI), ubiquitous sensing and wearable technologies have led to their increased adoption in digital healthcare. Companies are increasingly adopting AI to provide smart solutions for patients’ hospital and home care.

Modules

Core units - Research Methods & Professional Issues; Foundations of Health Information Systems; Artificial Intelligence; Accessibility & Assistive Technology; Individual Masters Project. Option units (choose two) - Neuronal Analysis; Blockchain & Digital Futures; Persuasive Technology & Behaviour Change; Smart Systems; Computer Vision.


Entry requirements

A Bachelors Honours degree with 2:2 in a required subject: Computing, Technology, Maths, Physics, Engineering, Data sciences or Data analytics. If English is not your first language you'll need IELTS (Academic) 6.0 with a minimum of 5.5 in writing, speaking, listening and reading.


Fees and funding

Tuition fees

England £9000 Year 1
Northern Ireland £9000 Year 1
Scotland £9000 Year 1
Wales £9000 Year 1
Channel Islands £9000 Year 1
Republic of Ireland £9000 Year 1
EU £16000 Year 1
International £16000 Year 1

Additional fee information

All fees are quoted in pounds sterling and are per year. Your tuition fees will be the same for each year of your course. Fees during your placement year (if applicable): £1,850. Visit Bournemouth University's website for full details.

Provider information

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Bournemouth University
Talbot Campus
Fern Barrow
Poole
BH12 5BB


Clearing contact details

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Future Students Enquiry Team

+44 (0)1202 966777

Course Clearing information

Additional information

From Tuesday 4 July: Lines are open Monday-Thursday, 09:00-17:00, and Fridays 09:00-16:30. Thursday 17 August: Lines are open 07:00-20:00. Friday 18 August: Lines are open 08:00-18:00. Saturday 19 and Sunday 20 August: Lines are open 10:00-15:00. From Monday 21 August: Lines are open Monday-Thursday, 09:00-17:00, and Fridays 09:00-16:30.


Course contact details

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Digital Health and Artificial Intelligence at Bournemouth University - UCAS