COURSE CURRICULUM

This MSc course in Artificial Intelligence in Cybercrime and Criminal Justice is structured to provide students with a comprehensive understanding of AI applications in the criminal justice and cybersecurity sectors. The compulsory modules ensure a strong foundation in both technical and analytical skills. Research Methodology equips students with the tools to conduct rigorous, evidence-based investigations, while Contemporary Issues in Crime and Criminal Justice examines current challenges and developments within the field. The Dissertation allows students to apply their knowledge to an independent research project, integrating theory and practice. Fundamentals of Cyber Security provides essential knowledge of digital security principles, preparing students to protect systems and data effectively. Machine Learning introduces advanced techniques for analyzing complex data sets, enabling predictive and automated decision-making within criminal justice contexts. Responsible AI emphasizes ethical considerations, ensuring that AI applications are deployed in a socially responsible and legally compliant manner. Cybercrime and Internet Policing explores the practical and legal aspects of detecting, preventing, and investigating cybercrime, equipping students with skills relevant to law enforcement and digital security roles. Together, these modules prepare graduates to work at the intersection of AI, cybersecurity, and criminal justice, developing the technical, ethical, and analytical expertise needed to address contemporary challenges and contribute to innovation in policing, crime prevention, and digital investigations.