Medical Statistics MSc

Lancaster University

Medical statisticians are pivotal to the success of medical and health research. They design and analyse clinical trials, evaluate public health initiatives, and identify the causes and risk factors of diseases. Here at Lancaster, our world-leading researchers provide you with a firm foundation in statistical theory alongside modern analytical computational skills. With a growing demand for medical statisticians and evidence-based health research, you have the opportunity to shape the future of these fields with advanced statistical expertise.Who is this programme for?Are you interested in understanding how statistics can be used to design efficient clinical trials as part of the drug discovery process? Are you curious about how the outcomes of patients on different treatment plans can be compared? Have you ever paused to think about how you might evaluate the effectiveness of a new vaccine in the middle of a pandemic? The MSc Medical Statistics will develop your expertise in statistical methods for the medical and pharmaceutical industries, with the intention of progressing your career in these fields.Looking ahead to employabilityOur world-leading medical statistics researchers actively collaborate with external partners, ensuring that what we teach brings insights to the classroom that cannot be obtained from a textbook. We deliver a hands-on data approach, blending theory with practical applications to real-world challenges. You will graduate with a comprehensive skill set, including design of clinical trials, analysis of health data, logical thinking, problem-solving and quantitative reasoning. We also develop your:Confidence in computing through application to data analysis and manipulationCritical thinking and statistical modelling skills through individual and group project workCommunication and collaboration skills through oral and written exercisesAbility to devise appropriate designs for medical studies to ensure the research question can be answered in a definitive and efficient manner, avoiding sources of biasAwareness of ethical issues in the design and analysis of medical studies and the responsibilities of medical statisticians within a research team

School of Mathematical Sciences