Master of Science - Digital Health and Artificial Intelligence (16-month)
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Progression Summary
program description
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, personalized 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. 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 the digital healthcare, with assurances of their ethical, safe and effective deployments.
this course will support students developing a strong professional capability for adopting modern healthcare needs, together with the technical skills required for adopting digital healthcare and ai. students 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 students to tailor progressive learning towards the areas that interest them, including from neuronal analysis, smart systems, computer vision to blockchain.
as graduates of this course students will be prepared to undertake employment positions such as ai scientist, ai product director, clinical ai fellow and many more.

Start Date
2026-01

Tuition fees
92,646 .SAR

Start Date
2027-01

Tuition fees
92,646 .SAR