Modules

Cyber Threat Intelligence: This unit introduces Cyber Threat Intelligence (CTI) and its role in modern cybersecurity, teaching learners to identify, analyse, and respond to cyber threats using various tools and techniques. It covers types of CTI, information sources, improving organizational security, and legal and ethical considerations. Computational Modelling: This unit aims to provide learners with a comprehensive understanding of advanced computational modelling techniques and their applications in complex systems. It explores the evolution from traditional to data-driven methods using machine learning and neural computation, and discusses state-of-the-art tools for modelling systems as complex as the brain, including their applications and limitations. Quantum Computing: This unit aims to provide learners with a critical understanding of quantum computing and its applications for solving complex problems beyond classical capabilities. Learners will gain practical knowledge and skills in quantum computing, algorithms, and information, as well as tools and techniques to design and execute quantum circuits on simulators. Efficient and Edge AI: This unit aims to provide learners with a comprehensive understanding of efficient and edge AI technologies, including principles, methodologies, and applications. Learners will focus on optimizing the efficiency and performance of edge AI systems, understanding implementation challenges and opportunities, and designing and implementing effective edge AI solutions. Network Science: This unit aims to provide learners with a strong understanding of network science theories and methods to critically assess and discover hidden structures in real-world networks. Learners will conduct network analysis on various empirical networks and apply appropriate concepts and algorithms to extract insights from networks with specific purposes or functions. Research Methods in Computer Science: This unit aims to equip learners with proficiency in research methodologies essential for Computer Science. Learners will master various research methods and design techniques, formulate research plans for diverse stakeholders, and explore ethical considerations. The unit also prepares learners for writing project proposals and conducting and disseminating their Master's project.