A research focused DCS curriculum prepared for deployment. Built by PhD educators and designed to complement required textbooks.
Core Courses
CS-DCT-227 — Quantum Computing and Cryptography
CS-DCT-228 — Advanced Computational Theory
CS-DCT-229 — Machine Learning Systems Architecture
CS-DCT-230 — Research Methods in Computer Science
Specialization Tracks
Track A — Data Science
CS-DCT-231 — Advanced Data Mining Techniques
CS-DCT-232 — Predictive Modelling and Forecasting
CS-DCT-233 — Data Governance and Ethics
CS-DCT-234 — Big Data Engineering and Management
CS-DCT-235 — Applied Deep Learning for Data Science
Track B — Artificial Intelligence
CS-DCT-241 — Advanced Machine Learning
CS-DCT-242 — Neural Computation and Cognitive Systems
CS-DCT-243 — Advanced Reinforcement Learning
CS-DCT-244 — Natural Language Understanding
CS-DCT-245 — Robotics and Intelligent Systems
CS-DCT-246 — AI Ethics, Policy, and Governance
CS-DCT-247 — Human–AI Interaction and Design
CS-DCT-248 — Emerging Trends in Artificial Intelligence
Track D — Cybersecurity
CS-DCT-255 — Advanced Threat Detection and Response
CS-DCT-256 — Secure Software Engineering
CS-DCT-257 — Cybersecurity for Cloud Computing
CS-DCT-258 — Digital Forensics and Incident Management
CS-DCT-259 — Enterprise Security Architecture
CS-DCT-260 — Governance, Risk, and Compliance in Cybersecurity
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