Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

What you'll study

The minimum requirement is 36 credits. Coursework is primarily intended to prepare students to undertake a research thesis; the supervisory panel designs an individualized plan based on each student’s background and research project.

• Credit structure: 36 total credits comprising 6 core course units (16 credits), at least two electives (8 credits minimum, depending on credit hours), one research methods course (2 credits), an 8‑credit research thesis, and at least one internship up to six weeks (2 credits).
• Core coursework: All students must take the mandatory core courses. Examples listed include AI7101 Machine Learning with Python (introductory modern ML topics; emphasis on Python libraries; assumes linear algebra, analysis, algorithms and intermediate programming) and AI7102 Introduction to Deep Learning (assumes linear algebra, calculus, probability/statistics, basic ML concepts and Python proficiency).
• Electives and supervision: Electives are chosen with the supervisory panel to match prior preparation and the planned research topic. The supervisory panel consists of two or more faculty members who tailor the student’s coursework.
• Research and practical experience: The programme is research‑led: students complete a thesis and must satisfactorily complete at least one internship (up to six weeks) as a graduation requirement.

Entry requirements

The public programme description references an admission process and criteria but does not list specific entry requirements on the course page. Applicants should consult the university’s graduate admissions information for formal prerequisites and documentation.

Career prospects

Graduates are prepared either to advance as senior professionals within the technology industry or to pursue careers in scientific research. The curriculum emphasizes analytical problem solving, theoretical foundations, team research and communication of technical and entrepreneurial feasibility.

Scholarships & funding angle

The programme page does not state scholarship details. Prospective applicants should review the university’s graduate funding, fellowship and scholarship webpages or contact admissions and financial services for current opportunities and eligibility criteria.