Please note: this course isn¡¯t currently recruiting.

Why study?MSc Digital Health &?Artificial Intelligence at ÃÛÌÒAV?

  • 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?¨C 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.?

Find out more about the content of this course.

Career opportunities

As a graduate of this course, you¡¯ll be prepared to undertake employment positions such as AI Scientist, AI Product Director, Clinical AI Fellow and many more. You¡¯ll also gain transferable technical skills, opening up a?wide range of career opportunities in a variety of industries.?

In order to take advantage of new approaches to learning and teaching, as well as developments in industry?to benefit our students we regularly review all of our courses. This course is currently going through this process, and we will update this page to give you full information about what we will be offering once the review process has concluded.?These changes will come into effect for all new students from January?2025?entry.?Applicants will be notified by our admissions team of any changes.

Key information

Location:

ÃÛÌÒAV, Talbot Campus

Duration:

September start: 1 year full-time or 2 years part-time, January start: 16 months full-time or 32 months part-time

Required subjects:

Computing, Technology, Mathematics, Physics, Engineering, Data Sciences, Data Analytics

Entry requirements:

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.