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This program equips you with statistical methods crucial for various medical fields, ranging from clinical research to patient outcome assessment and disease modeling.
You'll gain comprehensive expertise in key statistical approaches and theories, covering linear and generalized linear models, Bayesian statistics, and computational techniques, while enhancing your programming and data analysis capabilities through the R statistical software.
You'll explore how these competencies apply to clinical studies and select from elective modules highlighting statistics' role in other medical domains like epidemiology and healthcare intervention assessment.
Additional optional modules address other statistical subjects, including time series analysis and machine learning applications.
Approximately one-third of the program focuses on your dissertation, which examines a medical or healthcare theme. This could involve analyzing datasets or exploring theoretical/methodological questions, providing valuable CV skills like project planning, data collection, problem definition, analytical techniques, and results presentation. Distance learners frequently undertake projects designed by their employers.
Career prospects
This qualification provides excellent preparation for statistical positions throughout healthcare and medicine. Graduates can apply their skills to pharmaceutical drug development, public health initiative design for global challenges, or clinical support roles.
Our Mathematics and Statistics graduates have secured positions with organizations like AstraZeneca, GE Healthcare, GSK, the Medical Research Council, Public Health England, and the NHS.
This degree meets the Royal Statistical Society's requirements for Graduate Statistician accreditation - a pathway to full RSS membership and Chartered Statistician designation.