COURSE CURRICULUM

This Artificial Intelligence programme offers a comprehensive combination of theoretical knowledge, practical experience, and research skills designed to prepare students for advanced careers in AI, machine learning, and intelligent systems development. Students begin with Artificial Intelligence Foundations, where they develop an understanding of core concepts such as knowledge representation, reasoning, problem solving, algorithms, planning, and the design of AI applications. The programme further develops technical expertise through Machine Learning, introducing predictive modelling, learning algorithms, statistical methods, probability theory, and inference techniques that enable intelligent systems to learn from data and adapt to changing conditions. Students also study Statistical Methods for Data Analytics, gaining practical experience in quantitative and qualitative analysis, regression techniques, correlation testing, data categorisation, normalisation, and data modelling methods that support scientific and industrial research. Through Intelligent Decision Support Systems, students explore the use of data mining, classification techniques, and knowledge management methods to develop computerised systems that assist decision-making in business, healthcare, and technology sectors. The Artificial Intelligence Ethics and Applications module examines the use of AI technologies in areas such as chatbots, virtual assistants, medical diagnosis, fraud detection, biometric recognition, personalised services, and autonomous systems while encouraging critical analysis of ethical, social, and security issues associated with these technologies. Research Methods equips students with the ability to conduct academic and professional investigations through literature reviews, research design, data collection, evaluation techniques, and research ethics. A major component of the programme is the Computing Masters Project, where students undertake independent research or industry-based projects to develop software, tools, systems, or research outputs and present their findings through reports, demonstrations, and presentations. The programme combines advanced technical knowledge with research and analytical skills, preparing graduates for careers in artificial intelligence, data analytics, research, and a wide range of technology-focused industries.