Graduates wishing to undertake a doctorate in AI specializations should have a strong desire to contribute to science and humanity through cutting edge research, scientific literature, and thought leadership. They should be experienced researchers aiming for a high-level career in academia, a research institute, industry, or a startup of their own.
Doctoral programs require an increased time commitment from students compared to master’s offerings as more emphasis is placed on the delivery of their thesis. All doctoral programs offer a full scholarship including tuition, accommodation, healthcare, student visa, and a generous monthly stipend.
Uses computational methods to analyze biological data, model complex biological processes, and advanced fields like genomics and personalized medicine. The department’s research focuses on applying AI to biology, with research spanning genomics, medical imaging, and epidemiology. The department will welcome its inaugural M.Sc. and Ph.D. cohorts in 2026.
Covers the foundations of computing, including algorithms, data structures, software engineering, and theoretical principles that underpin technology. The department's research advances AI-driven system design, focusing on efficient hardware, optimized LLM training, edge computing, and secure, privacy-preserving technologies.
Focuses on teaching computers to interpret and understand visual information, enabling tasks like image recognition, object detection, and video analysis. Currently ranked in the top 15 in the world, the department develops visual and vision-language AI models, focusing on robotic vision, generative media, multi-sensor fusion, and trustworthy AI.
Examines how people interact with computing systems, designing interfaces and experiences that are intuitive, accessible, and user centered. The department focuses on user interface design, human-agent interaction, VR/AR, and affective computing to enhance AI-driven systems across healthcare, education, entertainment, assistive technologies, and smart city solutions. The department will welcome its inaugural Ph.D. cohort in 2026 with M.Sc. to follow shortly after.
Studies algorithms and models that enable systems to learn from data, recognize patterns, and make predictions or decisions with minimal human intervention. Currently ranked in the top 25 in the world, machine learning is our largest department. Its research focuses on adaptable, explainable AI models to tackle challenges in healthcare, energy, and smart cities.
Centers on computational techniques to analyze, understand, and generate human language, supporting applications such as chatbots, machine translation, and sentiment analysis. Currently ranked in the top 15 in the world, the department develops large language models (LLMs) with an emphasis on Arabic and underserved languages, advancing language understanding and developing applications across healthcare, finance, and education.
Explores the design and control of autonomous systems, integrating sensing, mechanical actuation, and intelligent decision-making for robots. With the Robotics Research Lab opening in 2026, the department is currently experiencing a rapid growth phase. The department develops robotic solutions for industrial automation, human assistance, and medical procedures, advancing research across environmental, social, and healthcare domains.
Employs statistical and analytical tools to extract insights from data, supporting data-driven decision-making, predictive modeling, and quantitative research. The department welcomed its inaugural M.Sc. and Ph.D. cohorts in 2025.
