Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

Programme overview

This Bachelor of Science in Artificial Intelligence (Engineering) trains students to design and implement AI technologies with attention to mechanisms, limits and ethical impact. The stream prioritises practicum, industry-relevant computer science and experiential learning; students may change streams within their first year. The programme runs full-time on campus and is structured to deliver workforce-ready skills and industry placements, including a final-year full-time cooperative education placement supported by the universitys Career Services.

What you'll study

The degree totals 120 credits to be completed within four years. Credit and course groupings are:

• General education (7 courses, 21 credits) — core communication, entrepreneurship and related coursework (examples in the catalogue include GE1005 Communication: The Power of Words and GE1010 Entrepreneurship: The Founders Playbook).
• Math core (2 courses, 6 credits).
• AI core (6 courses, 18 credits).
• Engineering core (5 courses, 15 credits) and engineering electives (5 courses, 15 credits).
• Business components: business core (1 course, 3 credits) and business electives (2 courses, 6 credits).
• Workplace experience: one internship (6 credits) plus two industry co-operative placements (30 credits) conducted in lieu of traditional final-year classes.

The programme learning outcomes are aligned to the UAE National Qualifications Framework Level 6 and cover three domains: Knowledge, Skills and Responsibility. Graduates will be able to analyze AI capabilities and ethics; develop, train and deploy models; apply AI across disciplines; identify entrepreneurial opportunities and lead AI projects; and communicate complex concepts to varied audiences.

Entry requirements

The catalogue references an undergraduate admission process and criteria but does not list numeric thresholds or specific prerequisites on this page. Applicants should consult MBZUAIs official undergraduate admissions information for exact academic, language and documentation requirements.

Career prospects

The engineering stream is targeted at future engineers, researchers, problem-solvers and innovators intending to build transformative AI systems for industry and society. Emphasis on practicum, industry placements and career-service support aims to prepare graduates to be productive from day one in roles that require machine-learning engineering, applied AI development, interdisciplinary AI application and entrepreneurial deployment of AI solutions.

Scholarships & funding angle (general)

The programme page lists university-wide opportunities (such as research fellowships and scholar programs) elsewhere in the catalogue. Prospective students should review MBZUAIs scholarships, financial aid and internship funding pages or contact Admissions and Student Services for details on undergraduate funding and eligibility.