Academic Programs · Faculty of Engineering
Artificial intelligence engineering: machine learning, intelligent and autonomous systems, IoT and robotics.
Artificial intelligence engineering: machine learning, intelligent and autonomous systems, IoT and robotics.
To be a pioneering hub for Intelligent Systems Engineering in the region, recognized for empowering a new generation of engineers and innovators who seamlessly integrate intelligent software with physical systems, drive sustainable technological innovation, and create entrepreneurial solutions that contribute to economic growth and societal impact.
The Intelligent Systems Engineering program aspires to achieve regional and international excellence in intelligent systems, sustainable technologies, and AI-driven innovation. The program aims to prepare highly qualified AI engineers and entrepreneurs equipped with strong technical expertise in Machine Learning, Natural Language Processing, Computer Vision, and Intelligent Systems, while fostering creativity, leadership, ethical responsibility, and entrepreneurial thinking to enable graduates to develop innovative startups, transform research into real-world applications, and address future industrial and societal challenges.
Provide a Foundational Engineering Core Equip students with a strong grounding in mathematics, computer science, and electrical engineering principles essential for designing and analyzing complex AI systems.
Deliver Advanced AI Specialization Offer a comprehensive and cutting-edge curriculum in key AI disciplines, including machine learning, deep learning, computer vision, natural language processing, and robotics.
Foster Practical Implementation Skills Develop proficiency in the entire AI development lifecycle— from data acquisition and model training to deployment, scaling, and maintenance on various hardware and software platforms.
Instill Ethical and Professional Responsibility Cultivate a deep understanding of the ethical, social, security, and professional implications of AI technologies to ensure their responsible and beneficial use in society.
Promote Multidisciplinary Collaboration Prepare students to function effectively as leaders and contributors in multidisciplinary teams, communicating complex ideas and integrating AI solutions into broader engineering projects.
Bridge the Gap to Industry Establish strong partnerships with industry leaders to ensure the curriculum remains relevant and to provide students with real-world experience through projects, internships, and capstone courses.
Encourage a Mindset of Innovation and Lifelong Learning Inspire creativity, entrepreneurship, and a commitment to continuous learning to enable graduates to drive innovation and adapt to the rapid evolution of the field.
The program bylaw contains the study plan, course list and course descriptions.
Courses and study plan
The full list of courses by level and semester, prerequisites and course descriptions are in the program bylaw.
AI, data analytics, cyber security, IoT and robotics labs for intelligent systems engineering.
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