A 30-credit blended-delivery master's in data analytics engineering, optimisation, predictive analytics and machine learning applied to supply chain, healthcare, manufacturing and government. Prepares graduates to lead data initiatives and digital transformation.
Thesis option (9 core + 12 elective credits + 9-credit thesis) or course option (9 core + 21 elective credits + seminar). Offered by the Department of Industrial Engineering.
MBA and MBDA applicants take the GMAT or the AUS admission test; a statement of purpose is required for some programmes.
Data and analytics engineering roles leading data initiatives and digital-transformation efforts across supply chain, healthcare, manufacturing and government.
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 Data Analytics Engineering
Start Date
August 2026 (Fall; Spring intake for many programmes)
Typical Offer
BS in Engineering, CGPA 3.0/4.0, plus IELTS 6.5 (or TOEFL iBT 80). Related quantitative-science degrees considered case-by-case.
Duration
2 years
Qualification
Masters
Subject Area
Engineering
Campus
Sharjah
Course Type
Master of Science
Study Pattern
Full time
Delivery Format
Blended
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.