University
Bangladesh University of Engineering and Technology
Dhaka, Bangladesh
Overview
Bangladeshi engineering university whose CSE department lists postgraduate programs in artificial intelligence and machine learning.
Verified subjects: Artificial intelligence, Machine learning
Programs
Each program is listed with its award, delivery format and published price. Prices, schedules, prerequisites requirements and teaching language belong to the program, not to the school.
Master’s degrees
Master of Science in Artificial Intelligence and Machine Learning (M. Sc. AI and ML)
Master of Science in Artificial Intelligence and Machine Learning
Artificial intelligence, Machine learningOn campus18 monthsBangladesh University of Engineering and Technology
Price not published
PhD and research degrees
Doctor of Philosophy (Ph.D.) - Post-Graduate Programs in Artificial Intelligence and Machine Learning
Doctor of Philosophy (Ph.D.)
Artificial intelligence, Machine learningOn campus3-5 yearsBangladesh University of Engineering and Technology
Price not published
Teaching locations
Places where teaching actually happens. Facilities are stated per location, only as published. Online programs are not tied to a location.
The source pages do not describe the facilities at these locations in detail.
Bangladesh University of Engineering and Technology
ECE Building, West Palashi, Dhaka, Bangladesh
Recognition
Recognition is described exactly as sourced. There is no single accreditation for AI schools, and association membership is not accreditation. Degree-granting institutions are normally accredited or licensed by an authority in their country; many specialist providers of short courses are not, and a school-issued certificate is not an accredited qualification.
No recognition records have been found for this school yet.
Sources and verification
How this profile was verified
Facts come from the school’s own pages and from official records, each with a verbatim quote that is re-checked against the live page. Last checked 1 November 2026. Research methodology.
Sources (checked 1 November 2026)