A supervised independent project that applies research and technical skills to a substantial computing problem from planning through evaluation and final write-up.
Fundamental algorithms and data structures — sorting, searching, graphs, trees, and complexity analysis.
Research design, academic writing, literature review methods, and methodology planning for computing research projects.
Overview of modern cyber threats, attack methods, vulnerabilities, and risk-focused approaches to security analysis.
In-depth programming practices for building maintainable, testable, and better-structured software beyond beginner-level coding.
Core AI and machine learning concepts, model training, evaluation, and understanding how systems learn from data.
Software development as an engineering process — requirements, design, teamwork, testing, iteration, and maintainable delivery.
Designing and building secure systems using secure-by-design principles, controls, and security-focused engineering decisions.
Low-level computing fundamentals covering processor execution, memory systems, and how operating systems manage processes and resources.
Networking fundamentals for internet and mobile systems, including protocols, routing, wireless communication, and network troubleshooting.
Planning and justifying a research project, including aims, literature positioning, methodology, ethics, and a realistic project plan.