United Arab Emirates University

Programme overview

This 3-credit course examines how artificial intelligence can transform animal healthcare and management. It presents core AI concepts alongside real-world veterinary tools and focuses on ethical, legal and societal considerations affecting the profession.

What you'll study

Core topics are drawn from practical applications and current tools. Students study AI fundamentals in veterinary contexts and review emerging systems such as VetCT, CattleEye and eCow. The syllabus covers AI use across animal management, diagnostics, treatment planning, animal welfare and practice management, and trains students to critically interpret AI-related developments.

• Introduction to AI concepts relevant to veterinary medicine
• Practical applications and case examples (VetCT, CattleEye, eCow)
• Animal management, diagnostics and treatment planning using AI
• Animal welfare and practice management applications
• Ethical considerations, data privacy and societal impact

Entry requirements

Prerequisite: VMED105 with a minimum grade of D.

Career prospects

Graduates gain the analytical perspective needed to assess and incorporate AI tools into clinical work, herd health programs and practice management. The course supports roles that intersect veterinary practice and technology evaluation, including positions in clinical services, diagnostics, farm management and technology adoption within veterinary settings.

Scholarships & funding angle (general)

If you need financial support, check your university’s undergraduate funding and departmental awards; institutional scholarships and faculty-level funding programs are the usual sources for course-level study support.