COURSE CURRICULUM

This computer science degree provides a structured and comprehensive pathway from foundational principles to advanced technical expertise. In the first year, students are introduced to the core concepts, theories, and practices of computer science. They begin learning programming in various languages and explore fundamental areas such as data types, data processing, and management techniques. The curriculum also encourages the development of basic problem-solving abilities while introducing key issues surrounding the legal, ethical, and health and safety aspects of computing. Students are guided to understand the broader professional and societal impact of computer science. Core modules may include Software Design and Development, Computer Networks and Technology, Web Design and Databases, Immersive Technologies, and Professional Life Practice.In the second year, the course deepens students’ knowledge of computer science, with a focus on applying analytical, design, and development skills to various software and hardware-based projects. Students explore how computing relates to social, political, and professional frameworks. They work both independently and collaboratively on increasingly complex challenges. Modules may include Operating Systems and Cloud, Computer Vision and AI, Full Stack Application Development, and Work-Based Learning, supported by continued professional development through the Professional Life Practice module.By the third year, students are expected to demonstrate advanced knowledge and professional competence in designing and developing computational solutions. The final year emphasizes project management, technical problem-solving, and innovation. Students undertake a major independent project to showcase their accumulated skills and understanding. Modules may include Advanced Computer Vision and 3D, Ethics, Risk and Project Management, and Professional Life Practice. This degree equips graduates with the tools and experience needed for diverse roles in the tech industry, including software development, AI, data science, and systems analysis, while fostering a strong sense of responsibility within professional and societal contexts.