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Master the technologies shaping tomorrow. Our comprehensive program blends theoretical depth with hands-on AI and software engineering to launch your career at the world's top tech firms.
Our Computer Science & AI program is built for the modern innovator. You'll dive deep into algorithms, machine learning, data structures, and neural networks while collaborating on real-world projects with industry partners. With a student-to-faculty ratio of 8:1, you'll receive personalized mentorship from world-class researchers.
From building autonomous systems to designing scalable cloud architectures, our graduates leave with a portfolio that sets them apart. The program offers flexible pathways in AI, cybersecurity, and full-stack development.
Explore the core modules and elective pathways designed to give you a competitive edge in the tech industry.
Python fundamentals, algorithms, and problem-solving techniques.
Logic, set theory, combinatorics, and graph theory for computer scientists.
Arrays, linked lists, trees, and hash maps with complexity analysis.
History, ethics, and basic machine learning concepts.
Java/C++ architecture patterns and UML modeling.
Supervised & unsupervised learning, regression, and classification.
Process management, memory allocation, and concurrency.
Vectors, matrices, eigenvalues – foundational for AI/ML.
Neural networks, CNNs, RNNs, and TensorFlow/PyTorch.
SQL, NoSQL, data modeling, and distributed databases.
Agile methodologies, DevOps, and full-stack project management.
Choose between network security or natural language processing.
Markov decision processes, Q-learning, and game theory.
Industry-sponsored AI/software project with real-world data.
AWS, Kubernetes, microservices architecture.
Specialized advanced topics with lab immersion.
Tailor your degree with one of our high-demand specialization tracks.
Deep neural networks, reinforcement learning, and ethical AI design.
Big data pipelines, statistical modeling, and visualization at scale.
Network defense, cryptography, and ethical hacking with live-fire labs.
Infrastructure as code, container orchestration, and site reliability engineering.
Our graduates are recruited by the world's most innovative companies.
From autonomous drones to AI healthcare diagnostics — our students build groundbreaking solutions.
An AI-powered rover that navigates campus using computer vision and LiDAR.
Deep learning model for early detection of diabetic retinopathy from retinal scans.
Real-time city traffic prediction using graph neural networks and open data.