COURSE CURRICULUM

The Computer Science program spans three years and provides a comprehensive foundation in both theoretical and practical computing. In the first year, students are introduced to the essential structure of computer systems and communication networks in the Computer and Communication Systems module. Programming fundamentals are developed through Paradigms of Programming, where students explore object-oriented and functional programming styles, giving them hands-on coding skills and the confidence to adapt to new languages. Algorithms and Data Structures lays the groundwork for computational problem-solving, emphasizing algorithmic efficiency and data organisation. Introduction to Compilers builds on this foundation by examining how source code is translated into executable machine instructions, exploring key theoretical concepts such as finite state machines and formal languages. Principles of Software Engineering prepares students for industry by teaching structured software development methods, team collaboration, and the ethical implications of engineering practices. The year's learning is underpinned by Mathematics for Computer Science and Advanced Mathematics for Computer Science, which together equip students with the algebraic, calculus, and statistical knowledge necessary for advanced computing tasks. In the second year, students expand their technical skill set through Advanced Programming, delving into concurrent programming, design patterns, and distributed systems. The program continues with modules such as Information Security, which introduces cryptographic methods and security principles, and Statistical Techniques with R, providing students with statistical analysis tools for real-world data challenges. Artificial Intelligence is introduced with a focus on knowledge representation, reasoning, and ethical implications. Students also study Advanced Algorithms and Data Structures to deepen their algorithmic thinking, and Computational Methods and Numerical Techniques to gain mathematical problem-solving capabilities. Operational Research: Linear Programming connects computing to business decision-making through mathematical optimisation. In the final year, students work independently on a Final Year Project, demonstrating their skills through the development of a professional-level product and report. They also explore advanced topics including Machine Learning, Artificial Intelligence Applications, and Information Visualisation and Big Data, applying sophisticated analytical and programming skills. The course concludes with Statistical Techniques and Time Series, preparing students to analyse complex, time-dependent datasets. Throughout the program, students are equipped with industry-relevant skills and academic rigor, making them well-prepared for roles in software development, data science, AI, and cybersecurity.