Computer Science & Engineering

Cloud architecture, deployment models (AWS/Azure/GCP), DevOps, containerization, and serverless computing.

Protection of computer systems, networks, and data. Covers ethical hacking, cryptography, network security, and digital forensics.

Statistical learning, data engineering, big data tools, visualization, and machine learning applied to real-world datasets.

UI/UX research, accessibility, usability engineering, and interface design from a computing perspective.

Autonomous systems, robot programming, control theory, and AI-driven robotics.

Network protocols, architecture, wireless systems, routing, and network security fundamentals.

Foundational CSE covering algorithms, data structures, operating systems, and computer architecture without a dedicated specialization track.

Software development methodologies, systems design, testing, agile practices, and software architecture.

Augmented and virtual reality development, spatial computing, and immersive experience design.

Combined AI and data science track covering ML, statistical learning, big data processing, and AI applications.

AI and ML methods including supervised/unsupervised learning, deep learning, neural networks, and model deployment.

Distributed ledger technology, smart contracts, consensus mechanisms, and decentralized applications.

Image processing, object detection, pattern recognition, and visual intelligence systems.

Connected device ecosystems, embedded systems, sensor networks, edge computing, and IoT application development.

Text mining, language models, machine translation, sentiment analysis, and conversational AI.