COURSE CURRICULUM

This comprehensive set of modules reflects a multidisciplinary and practice-oriented approach to modern computing, data science, and digital systems. The Human Computer Interaction (HCI) module introduces students to the study of how people interact with technology, emphasizing user-centered design and its role in system analysis, design, and testing. Programming Principles provides a foundational understanding of software development, enhancing problem-solving skills through coding and computational logic. The Artificial Intelligence and Machine Learning module explores the key concepts and real-world applications of AI, with a strong focus on ethical considerations and implementation using cloud technologies. Data Ethics and Research Methods equips students with an understanding of ethical frameworks and research strategies necessary for managing complex data science projects. In the Database Systems module, students gain expertise in platforms for data storage, real-time processing, and advanced analytics, critically evaluating their use in various scenarios. Software Engineering and DevOps (AWS) offers insights into the entire software development lifecycle, including secure development practices, testing, documentation, and integration of legacy systems. Information Security covers the fundamental principles of protecting data in an increasingly digital world, preparing students to understand and respond to evolving cyber threats. Finally, the Data Visualisation module teaches how to design and implement visual representations of complex data, emphasizing interactive tools and storytelling techniques to communicate insights clearly and effectively. Together, these modules provide students with a balanced mix of technical skills, ethical awareness, and practical knowledge, preparing them for diverse roles in software development, data science, cybersecurity, and system design.