MSc Digital Health and Artificial Intelligence

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.

Careers

Upon completion of this course, you will possess the practical skills and theoretical knowledge necessary to enter the business computing profession, regardless of whether you currently hold any IT qualifications. As Information Technology forms a core part of the business function for many organisations, you will enjoy a wide range of career opportunities in a variety of industries.

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£16,000 Per Year

International student tuition fee

1 Year 4 Months

Duration

Jan 2025

Start Month

Dec 2024

Application Deadline

Upcoming Intakes

  • January 2025
  • September 2025
  • September 2026

Mode of Study

  • Full Time