A 30-credit master's in advanced AI and machine learning — deep learning, computer vision, NLP, data mining and ML hardware — with course-only and thesis pathways. Prepares graduates for advanced machine-learning careers or doctoral study.
Thesis option (6 core + 9 core-elective + 6 breadth-elective credits + 9-credit thesis) or course option (6 core + 15 core-elective + 9 breadth-elective credits); seminar (MLR 695).
MBA and MBDA applicants take the GMAT or the AUS admission test; a statement of purpose is required for some programmes.
Machine-learning and AI engineering and data-science roles across technology, finance, healthcare and government, plus doctoral study.
Licensed/accredited by the UAE Commission for Academic Accreditation (CAA), Ministry of Higher Education and Scientific Research; AUS is institutionally US-accredited by MSCHE (Middle States).
Award
Master of Science in Machine Learning
Start Date
August 2026 (Fall; Spring intake for many programmes)
Typical Offer
BS in Computer Science or Computer Engineering with strong programming competency, CGPA 3.0/4.0, plus IELTS 6.5 (or TOEFL iBT 80). Related engineering/quantitative-science degrees considered case-by-case.
Duration
2 years
Qualification
Masters
Subject Area
Computer Science
Campus
Sharjah
Course Type
Master of Science
Study Pattern
Full time
Delivery Format
In person
AED 82,200/yr
Apply online at apply.aus.edu with transcripts, a CV, references and a statement of purpose where required. The graduate application fee is AED 450 + 5% VAT. AUS offers graduate assistantships to qualified applicants.