COURSE CURRICULUM

MSc in Project Management with Data Analytics equips you with a robust combination of skills in project management, data analytics, and network systems, preparing you to tackle complex business challenges and optimise outcomes. In the Project Management Theory and Practice unit, you engage with case studies and real-world projects to evaluate, adapt, and apply project management principles, while developing essential skills in planning, communication, motivation, and initiative across diverse business contexts. The Digital Projects and Risk Management unit teaches you to apply advanced risk management techniques using industry-standard software, addressing environmental, social and governance (ESG), financial, and security risks in digital projects. In the Integrated Supply Chain and Logistics Management unit, you gain a deep understanding of modern supply chains, learning to design, control, and manage them efficiently. The Applied Data Analytics unit introduces data mining, text mining, and analytics methods, allowing you to work with real-world datasets and gain hands-on experience with SAS Viya for advanced analytics, machine learning, and AI applications. Knowledge and Information Management focuses on leveraging data and business intelligence to enhance strategic decision-making, while the Strategy unit equips you with tools for strategic analysis, business modelling, and decision implementation. The course culminates in the Capstone project, where you synthesise theory and practice under research supervision, integrating skills and knowledge to address a topic relevant to your field, preparing you for leadership and analytical roles in contemporary business environments.