COURSE CURRICULUM

The full-time MSc in Medical Statistics provides comprehensive training in both the theory and practical application of statistical methods in medical research. The program’s core modules cover essential areas such as Fundamentals of Medical Statistics, Statistical Modelling, Statistical Computing and Inference, Computationally Intensive Methods, Advanced Statistical Modelling, Clinical Trials, and Epidemiology. These modules collectively ensure students develop a deep understanding of statistical principles, advanced modelling techniques, and the ability to implement analyses using modern computational tools. Emphasis is placed on applying these methods to real medical and clinical data, preparing students to address complex research questions in healthcare and public health. The program also encourages the development of professional skills, including effective communication of statistical findings, critical evaluation of research, and consultancy skills through project work and practical exercises. Students can further tailor their studies by selecting one option module from Further Topics in Medical Statistics, Genetic Epidemiology, or Health Technology Assessment, allowing them to specialise according to their career goals or research interests. Overall, the course equips graduates with the technical expertise, analytical capability, and practical experience necessary to excel in medical statistics, clinical research, health technology evaluation, and related fields, fostering both professional competence and readiness for advanced research roles.