Campus Courseware: Doctorate of Computer Science

A research focused DCS curriculum prepared for deployment. Built by PhD educators and designed to complement required textbooks.

Included Components

  • Student guides and faculty playbooks

  • Slide decks and HD video lectures

  • Assignments and practicebanks

  • LMS ready files

Course List and Codes

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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