Photo Credit : WAM
Ajman University has announced the launch of a new Doctor of Philosophy (PhD) programme in Artificial Intelligence, reinforcing its position as a regional leader in advanced technology education and research.
The research-focused programme, offered by the College of Engineering and Information Technology, will be delivered by a faculty that includes scientists ranked among the world’s top 0.5 percent and top 2 percent globally. The initiative builds on the university’s strong academic standing, having been ranked first in the UAE for Data Science and Artificial Intelligence and placed among the top 51–100 institutions worldwide in the field, according to the QS Subject Rankings 2025.
Doctoral candidates will work closely with internationally recognised scholars, including researchers featured among Stanford University’s top 2 percent scientists and those ranked by ScholarGPS. The programme emphasises original, publication-driven research, supported by advanced AI laboratories and the AIRC Research Centre.
Dr. Karim Seghir, Chancellor of Ajman University, highlighted the strategic importance of the programme, noting that artificial intelligence is central to the UAE’s long-term transformation agenda under the AI Strategy 2031. He said the initiative aims to strengthen research capacity while fostering intellectual leadership that can shape policy and innovation across key sectors.
The PhD programme has received accreditation from the UAE’s Commission for Academic Accreditation (CAA) and is delivered within an institution accredited by the WASC Senior College and University Commission (WSCUC), ensuring adherence to international academic standards.
Designed as part of a complete academic pathway, the programme complements the university’s existing undergraduate and master’s degrees in Artificial Intelligence. It aligns with national and global priorities, including healthcare innovation, smart cities, sustainability, cybersecurity, fintech, and digital transformation.
Graduates are expected to take on leadership roles across academia, government, and industry, contributing to the development and responsible deployment of next-generation AI systems.
