United Arab Emirates University

What you'll study

The syllabus covers key AI technologies and methods and their medical applications. Topics include machine learning and big data, supervised and unsupervised learning, applications in medical imaging, diagnostics, drug discovery, treatment and personalized medicine, AI model evaluation, optimization and interpretability, practical skills using online tools, and discussions of future AI-driven healthcare advancements.

Entry requirements

This course lists prerequisite completion of a sequence of MEED modules: MEED101, MEED102, MEED103, MEED104, MEED105, MEED106, MEED107, MEED108, MEED109, MEED201, MEED202, MEED203, MEED204, MEED205, MEED206, MEED207, MEED301, MEED302, MEED303, MEED304, MEED305, MEED306 and MEED307.

Career prospects

The course prepares students to engage with AI technologies in clinical contexts—enhancing abilities to interpret big healthcare datasets, evaluate machine learning models, and understand AI roles in diagnostics, imaging, robotics, drug design and personalized medicine. This foundational knowledge supports clinical practice where AI tools are integrated, and informs further study or roles that bridge medicine and health informatics.

Scholarships & funding angle

If funding guidance is needed, students should consult their university scholarship and financial aid offices for opportunities that support undergraduate medical coursework; institutional scholarships or external grants for health-technology education may be available depending on eligibility.