Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

What you'll study

The degree is primarily research based; coursework supplies the skills needed to complete the thesis. Degree credit distribution is:

• Core courses: 5 courses (12 credits)
• Electives: a minimum of three elective courses (12 credits, dependent on credit hours)
• Internship: at least one internship up to six weeks (2 credits)
• Introduction to research methods: 1 course (2 credits)
• Research thesis: 1 thesis (8 credits)

Programme learning outcomes cover understanding the modern ML pipeline (data, models, algorithms, empirics), data preprocessing and visualization, capabilities and limits of learning algorithms, quantitative analysis of algorithmic and statistical properties, practical deployment with ML programming tools, independent problem solving on ambiguous problems, and project management and communication of complex research.

Entry requirements

The programme lists an application process and an application deadline (15 December 2026, 5 p.m. GST) on its admissions pages. Specific academic prerequisites, required documents, test scores or GPA thresholds are not provided in the source text and should be checked on MBZUAI’s official graduate admissions pages.

Career prospects

The programme prepares graduates for roles requiring advanced ML expertise. The source highlights ML applications across enterprise analytics and business intelligence, web search, robotics, smart cities and genomic analysis, indicating suitability for research scientist, machine learning engineer, applied researcher or domain specialist roles that demand algorithmic and statistical competence.

Scholarships & funding angle (general)

The provided text does not list specific scholarships or tuition details. Prospective applicants should consult MBZUAI’s funding and scholarship pages and the graduate admissions office for information on fellowships, scholarships or financial support available to Master’s students.