COURSE CURRICULUM

The MSc Business Analytics curriculum is built around a diverse set of modules that develop comprehensive analytical and decision-making capabilities. Students begin with statistics and descriptive analytics to understand and summarise data effectively, followed by programming for data scientists to build strong coding skills for analytical applications. The program advances into operational research and prescriptive analytics, focusing on optimisation techniques that support complex decision-making. Through analytics in practice, students apply theoretical concepts to real business scenarios, gaining hands-on experience with data-driven problem solving. Modules in optimisation and heuristics deepen understanding of advanced solution methods, while forecasting and predictive analytics develop the ability to anticipate future trends and outcomes. Intelligent data analysis and visualisation enhance skills in extracting insights and communicating results clearly and effectively. Specialised learning in transportation and logistics analytics demonstrates how analytics can improve efficiency and performance in operational contexts. The program culminates in a dissertation, allowing students to undertake an industry-based or research-focused project that integrates analytical, technical, and professional skills. Overall, the curriculum equips graduates with the expertise to analyse complex data, design effective solutions, and deliver impactful insights across a wide range of organisational and industry settings.