Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

What you'll study

This is primarily a research degree; coursework prepares students to undertake an independent thesis. The minimum requirement is 36 credits distributed across core courses, electives, internship, research methods and a research thesis.

• Core: 6 core courses totaling 16 credits that provide essential knowledge and skills for the degree.
• Electives: At least two elective courses (8 credits) chosen in consultation with the student’s supervisory panel to suit background and research topic.
• Internship: At least one internship of up to six weeks is required for graduation (2 credits).
• Research methods: 1 course (2 credits) to prepare students for research practice.
• Research thesis: 1 thesis course (8 credits) as the central component of the degree.

Programme learning outcomes emphasise specialized knowledge of computer vision principles, critical literature review, advanced problem solving, project management and communication, teamwork and independent research, ethical and societal awareness, and readiness to contribute original research or lead applied projects.

Entry requirements

The public programme page lists an application deadline but does not publish detailed entry criteria in the provided text. Applicants should consult the university’s Graduate Admission pages for specific academic, language and documentation requirements.

Career prospects

Graduates are prepared for research roles and technical positions where visual perception is central. Typical application areas mentioned include augmented/virtual reality, autonomous vehicles, service robotics, biometrics and forensics, remote sensing, security and surveillance. The degree targets both academic research pathways and industry roles that require advanced computer vision expertise.

Scholarships & funding angle (general)

The source text does not specify scholarship details. Prospective students should investigate MBZUAI financial support pages for scholarships, fellowships, research assistantships and internship opportunities, and discuss funding possibilities with potential supervisors. External industry internships and research collaborations are commonly used to support practical experience and may lead to paid opportunities.