Intelligent systems, built and understood.
A research-driven program covering machine learning, foundation models, and applied AI across language, vision and reasoning systems.
The School of Artificial Intelligence starts from first principles, not framework tutorials. Students work directly with faculty researchers on real model training, evaluation and deployment problems, building the mathematical and engineering foundation to design systems, not just call an API. Every project is graded on whether the system actually works under real conditions, not just in a demo.
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How we work
Foundations
Core mathematics, statistics and programming, so every student builds models rather than just using pretrained ones.
Specialization
Focused tracks in language, vision, or reinforcement learning, chosen once fundamentals are solid.
Research
Supervised research placements with faculty, working on open problems with real data and real stakes.
Capstone
A shipped project or published result, reviewed by faculty and industry partners before graduation.
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