COURSE CURRICULUM

The MSc in Operational Research and Applied Statistics offers a structured curriculum combining core modules with optional choices, allowing students to develop a strong foundation in analytical and statistical methods while tailoring their studies to specific interests. Core modules include Computational Methods (MAT004), Foundations of Operational Research and Analytics (MAT021), Foundations of Statistics and Data Science (MAT022), Further Operational Research (MAT031), and a Dissertation (MAT099). These modules equip students with essential skills in quantitative analysis, problem-solving, modelling, and research, preparing them to apply theoretical knowledge to practical organisational challenges. The dissertation provides an opportunity to undertake in-depth research, often involving real-world data and complex problem-solving scenarios, enabling students to consolidate their learning and develop professional competence. Optional modules offer further specialisation and include Statistics and Operational Research in Government (MAT007), Healthcare Modelling (MAT009), Financial Mathematics and Modern Actuarial Risk Theory (MAT011), Stochastic Search and Optimisation (MAT061), Time Series (MAT508), Statistical Programming with R and Shiny (MAT514), and Mathematical Methods for Data Mining (MAT700). These options allow students to focus on areas such as public sector analytics, healthcare, finance, or data science, further enhancing their employability and career readiness. Overall, the program combines rigorous theoretical training with practical applications, producing graduates capable of tackling complex analytical problems across diverse sectors.