COURSE CURRICULUM

The Computer Science program is structured to provide a strong foundation in computing principles, while gradually introducing advanced topics and practical applications. In the first year, students develop essential programming and problem-solving skills through modules such as Paradigms of Programming and Algorithms and Data Structures, gaining exposure to object-oriented and functional programming. The Introduction to Compilers module builds theoretical understanding by exploring how high-level code translates into machine instructions. Mathematics for Computer Science and its advanced counterpart ensure students acquire the necessary mathematical tools to support algorithmic thinking and data analysis. Principles of Software Engineering introduces industry practices in software development, including teamwork and ethical considerations. In the second year, the focus shifts to system-level understanding and applied computing. Advanced Programming expands students' coding expertise with more complex design concepts, while Operating Systems explores how computer resources are managed. Modules like Information Security and Statistical Techniques with R address key areas in cybersecurity and data analysis. Students are introduced to artificial intelligence and deepen their algorithmic thinking through modules in AI and Advanced Algorithms and Data Structures. Computational Methods and Numerical Techniques further develop students' ability to model and solve problems using data and simulations. In the final year, the emphasis is on specialisation and independent work. The Final Year Project allows students to research, design, and develop a substantial software system, integrating skills gained throughout the course. Modules such as Human Computer Interaction and Design, Natural Computing, and Machine Learning introduce advanced and emerging areas of computing, blending theoretical insight with hands-on application. Artificial Intelligence Applications rounds out the program by exploring real-world uses of AI. Overall, the course is well balanced, offering a mix of theory, practical skills, and exposure to contemporary technologies. Graduates are well-prepared for careers in software development, artificial intelligence, data science, and further academic study.