COURSE CURRICULUM

This Data Science programme provides students with advanced knowledge and practical skills in artificial intelligence, machine learning, big data, business intelligence, and software development to prepare them for careers in the rapidly growing digital economy. The course begins with Data Science Foundations, where students learn core concepts, database technologies, data preparation methods, and visualisation techniques using real-world datasets and industry-relevant software tools. Through Software for Digital Innovation, students gain a strong understanding of Python programming, including its syntax, libraries, and applications for solving practical business and technological problems. Machine Learning introduces students to predictive modelling, statistics, probability, and algorithms that allow systems to learn from data and make intelligent decisions in changing environments. The Big Data and Business Intelligence module develops expertise in designing and implementing database and analytics solutions while exploring large-scale databases, data warehouses, legacy data integration, and modern approaches to data management and visualisation. Students also study Artificial Intelligence Ethics and Applications, examining the use of AI technologies in areas such as chatbots, virtual assistants, medical diagnosis, fraud detection, biometric recognition, personalised services, and autonomous systems while considering ethical, security, and social implications. Interactive Visualisation focuses on creating dynamic and web-based visualisations using technologies such as D3.js, enabling users to explore complex multidimensional datasets and identify important patterns and insights. A major component of the programme is the Computing Masters Project, where students undertake an independent research or industry-focused project resulting in a substantial deliverable such as software, tools, websites, or research findings, which are presented through reports and presentations. Students may also undertake an optional internship through either an industry placement or a university-based research project, providing valuable professional experience, research skills, and enhanced career opportunities in data science and artificial intelligence fields.