COURSE CURRICULUM

This Computer Science curriculum provides a comprehensive foundation in programming, systems, and data science, progressing from fundamental principles to advanced applications across three years of study. In Year 1, students are introduced to key technical areas such as object-oriented programming, internet technologies, and security principles. Courses like Computer Systems and Internet Technologies, Programming Foundations, and Software Engineering build a base in coding, web development, and professional software practices. Additional modules in Data Science and Mathematics for Computing provide essential analytical and problem-solving skills, while Systems Development offers practical exposure to database solutions, highlighting their importance in today’s data-driven decision-making environments.In Year 2, the curriculum deepens students’ practical and theoretical understanding. Application Development and Agile Development with SCRUM focus on delivering real-world software using modern methodologies. Web Programming 1 and 2 provide end-to-end knowledge of full-stack development, while Data Structures and Algorithms enhance analytical capabilities through applied computing. Courses like Applications in AI and Data Science and Professional Project Management further prepare students for roles in emerging technology sectors, teaching them both technical proficiency and managerial competence. The User Interface Design module blends creativity with usability principles, ensuring students can build accessible and user-friendly applications.Year 3 culminates in a substantial Final Year Project worth 60 credits, enabling students to apply their accumulated knowledge independently in the design and implementation of a professional-level system. Human-Computer Interaction and Requirements Management address both the technical and human aspects of systems design, reinforcing ethical, legal, and societal considerations. Students also explore advanced technologies in Machine Learning and Data Science, learning to apply AI techniques to practical problems such as fraud detection and customer service automation. Overall, the program provides a solid academic and practical foundation, equipping graduates with the versatile skills required in software engineering, data science, AI, and related fields.