
Sharjah, United Arab Emirates

Sharjah, United Arab Emirates

Cost Of Living

The mission of the University of AI Dhaid is to cultivate exceptional talent and generate groundbreaking knowledge in the field of Artificial Intelligence. We strive to provide an unparalleled, immersive educational experience that blends deep theoretical understanding with hands-on, ethical application. Our goal is to empower students to become innovators and leaders who will drive sustainable economic growth, advance societal well-being, and position the UAE at the forefront of the global AI revolution through responsible and transformative technology.
Lead AI Ethicist at the Dubai Centre for Artificial Intelligence. She develops governance frameworks for public sector A... View More
Lead AI Ethicist at the Dubai Centre for Artificial Intelligence. She develops governance frameworks for public sector AI deployment in the UAE, ensuring transparency and fairness. View Less
Co-founder & CTO of "Nabta," an AgriTech startup. His company uses the drone monitoring technology he helped pioneer at ... View More
Co-founder & CTO of "Nabta," an AgriTech startup. His company uses the drone monitoring technology he helped pioneer at UAID to service farms across the GCC. View Less
Assistant Professor of Machine Learning at MIT. A rising star in academia, her research on efficient neural network arch... View More
Assistant Professor of Machine Learning at MIT. A rising star in academia, her research on efficient neural network architectures for edge computing is widely cited. View Less
Head of AI Strategy at G42 Healthcare. He leads teams applying predictive analytics to personalize patient treatment pla... View More
Head of AI Strategy at G42 Healthcare. He leads teams applying predictive analytics to personalize patient treatment plans and manage population health. View Less
Cybersecurity Analyst at the UAE's National Cyber Security Agency. She specializes in using AI to detect and mitigate so... View More
Cybersecurity Analyst at the UAE's National Cyber Security Agency. She specializes in using AI to detect and mitigate sophisticated cyber threats against critical infrastructure. View Less
The University of AI Dhaid's infrastructure is a model of a smart, sustainable academic city. The campus is powered by an AI-optimized microgrid that manages energy consumption from integrated solar arrays. A central AI command center monitors all facilities, from climate control to security, using predictive analytics for maintenance and efficiency. The architectural design features modular, flexible learning pods, advanced lecture theaters with telepresence capabilities for global speakers, and ubiquitous high-bandwidth connectivity. Dedicated high-security server rooms and a quantum computing research suite support the most advanced computational work, while sustainable design principles are evident in water recycling systems and green spaces that serve as living labs for environmental AI projects.
Student life at UAID is a vibrant blend of intense intellectual pursuit and dynamic community engagement. Beyond the labs, students participate in over 30 specialized clubs and societies, ranging from the Competitive Robotics Club to the AI Ethics Debate Society. The campus calendar is filled with tech talks, "AI Nights" hackathons, and cultural festivals that celebrate the diverse student body. Residential communities organize regular social and networking events, fostering strong bonds. Leadership opportunities abound through the Student Government and organization of major events like the annual "UAID Tech Symposium," where students showcase projects to industry leaders and academics.


The Career Development Center at UAID provides end-to-end support, beginning in a student's first year. Services include personalized career pathway mapping, resume and portfolio reviews specifically tailored for AI roles, and intensive interview preparation, including technical whiteboard coaching and behavioral interviews. The center hosts exclusive "Company Days" and networking sessions with recruiters. A standout initiative is the "AI Talent Portfolio" platform, where students build a dynamic digital portfolio of projects, code repositories, and research papers that is directly marketed to partner employers. This comprehensive approach results in an exceptionally high graduate employment rate in relevant, high-caliber positions within six months of graduation.
The below information is required while
completing the university application :
Requires a UAE Secondary School Certificate or equivalent with a minimum 85% average, with excellence in Mathematics and Physics. Proficiency in English (IELTS 6.0 or equivalent) is mandatory. Admission includes a personal statement, letters of recommendation, and a passing score on the UAID Aptitude Test in Logical Reasoning and Computational Thinking.
Know moreThe University of AI Dhaid hosts a dynamic, year-round recruitment ecosystem facilitated by its dedicated Corporate Relations and Career Services Office. The highlight is the annual "AI Talent Nexus" career fair, exclusively attended by leading global and regional tech companies, consultancies, and government entities. Additionally, the university runs a continuous "Project Pipeline" where student capstone projects and research initiatives are scouted by partner companies, often leading to direct pre-graduation offers. Many undergraduate programs include mandatory six-month cooperative education placements, which serve as a primary recruitment channel, with over 70% of students receiving full-time return offers from their co-op hosts.



Since its inception, UAID has rapidly gained recognition for its impactful contributions to the AI ecosystem. The university's research teams have secured significant competitive grants from entities like the UAE Ministry of AI and international tech consortia. Our students consistently win top awards at global competitions such as the International AI Olympiad and hackathons hosted by major tech firms. Furthermore, UAID has been ranked among the top three specialized AI institutions in the MENA region within five years of operation, a testament to its focused excellence and rapid ascent in the academic and technological landscape.


UAID successfully convened leaders from academia, industry, and government across the region to chart collaborative strategies for AI development.
Based on Scopus data, the university published the highest number of peer-reviewed AI research papers per faculty in the country.
The university launched a dedicated lab with a commercial quantum processor, providing unparalleled hands-on research opportunities for students and faculty.
The Chartered Institute for IT granted full accreditation to the flagship program, recognizing its international standard and quality.
UAID researchers published a paper achieving state-of-the-art accuracy in recognizing colloquial Emirati Arabic dialect, a significant NLP milestone.
Innovation and applied research are the lifeblood of UAID, centralized under the "Dhaid AI Research Park" (DARP). DARP focuses on flagship research pillars including Autonomous Systems, AI for Climate and Agriculture, Natural Language Processing for Arabic AI, and Ethical AI Governance. The university operates several cross-disciplinary labs, such as the AI for Precision Health Lab and the Smart Mobility Lab, where faculty, postgraduate students, and industry researchers collaborate on contract R&D projects. This model has led to numerous patent filings and the development of proprietary algorithms and software solutions licensed to industry partners, directly translating academic inquiry into commercial and social impact.
A city-scale AI traffic management system that dynamically adjusts signal timings in real-time based on predicted flow, reducing average commute times in pilot areas by 25%.
A federated learning platform that allows hospitals to collaboratively train drug discovery models on patient data without sharing the raw data, preserving privacy.
A computer vision system using low-cost sensors and edge AI that identifies early signs of red palm weevil infestation with 99.2% accuracy, saving crucial crops.
A machine learning algorithm that processes data from wearable optical sensors to predict blood glucose levels, offering a potential alternative to finger-prick tests.

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