COURSE CURRICULUM

This program provides a comprehensive foundation in data analytics, operational research, and applied statistics, supported by both core and optional modules. The core modules develop essential analytical and computational skills, beginning with Business Data Analytics, which focuses on handling and interpreting complex datasets for informed decision making. Enterprise Resource Planning and Management introduces integrated information systems used to optimise organisational efficiency, while Foundations of Operational Research and Analytics and Foundations of Statistics and Data Science provide the mathematical modelling and statistical techniques required to solve real-world business problems. The Dissertation, worth 60 credits, enables students to apply these skills to an independent research project, demonstrating their ability to investigate, analyse, and present data-driven solutions. Alongside the core modules, students can customise their learning through a diverse selection of optional modules, including topics such as Circular Economy Operations, Risk Management, and Supply Chain Dynamics, which explore modern industry challenges. Additional technical options, such as Time Series, Financial Mathematics and Modern Actuarial Risk Theory, Healthcare Modelling, and Statistical Programming with R and Shiny, support specialist pathways in fields like finance, healthcare analytics, consultancy, and data science. Overall, the program equips graduates with strong analytical capabilities and practical skills relevant to a wide range of professional environments.