MSc in Statistics – General Route This flexible route provides a comprehensive Masters in Statistics with a broad statistical foundation. Building on a 30 CATS core in statistics covering theory, methods and applications, you design your personalised curriculum by selecting a further 90 CATS (6 modules) from a wide range of options. Tailor your degree with subjects that may include Bayesian statistics, medical statistics, statistical genetics, multivariate analysis, time series, stochastic processes, designed experiments, financial mathematics, statistical consulting, Monte Carlo methods, and advanced data science topics. This ensures your expertise aligns with your personal interests and career aspirations. This route is ideal for those seeking a versatile degree with comprehensive training in both classical and modern statistical methods. (Please note that optional modules may vary from year to year.)
Data Science
MSc in Statistics with Data Science This specialised route offers a statistics degree focused on the modern data landscape. In addition to core modules providing a grounding in statistical theory, methods and applications, this route features a compulsory module in the Theory of Data Science. This bespoke core module uses a mathematically rigorous approach to cover the theoretical underpinnings of the field. Students then build on this foundation by choosing from specialised modules in areas which may include Statistical Learning and Big Data, Bayesian Forecasting, and Monte Carlo Methods. To build strong computational expertise, students can also select technical electives from Computer Science in subjects such as High-Performance Computing, Natural Language Processing, and Image & Video Analysis. This combination ensures graduates are equipped with both the theoretical foundations and practical skills to tackle complex, data-driven challenges. (Please note that optional modules may vary from year to year.)
MSc Statistics with Finance This route gives students a grounding in statistics while exploring subjects related to stochastic modelling and mathematical finance. A key feature is the compulsory core module ST964 Introduction to Advanced Probability, which provides a rigorous, graduate-level introduction to measure-theoretic probability theory, building on your existing mathematical background. Students then take further modules related to mathematical and statistical modelling in finance, covering subjects which may include Stochastic Methods in Finance, Applications of Stochastic Calculus, Time Series Analysis, and Advanced Trading Strategies. The curriculum is completed by a wide selection of statistical elective modules, allowing for further study in areas such as Bayesian Statistics, Statistical Learning, Monte Carlo Methods, or Medical Statistics. This ensures graduates develop a robust quantitative skillset for the finance industry. (Please note that optional modules may vary from year to year.)
MSc in Statistics with Probability This route offers a mathematically rigorous specialisation in the theory and application of stochastic processes and advanced probability. In addition to core modules providing a grounding in statistical theory, methods and applications, this route is centred on the core module ST964 Introduction to Advanced Probability, which introduces measure-theoretic probability. Students then choose from a selection of modules in stochastic modelling and its applications, which may include subjects such as Brownian Motion, Applied Stochastic Processes, and Dynamic Stochastic Control. This is further augmented by optional modules chosen to either broaden your background in pure and applied probability from the Mathematics Institute or to strengthen your statistical knowledge. Subjects may include Stochastic Analysis, the Theory of Random Graphs, Statistical Mechanics, Bayesian Forecasting and Multivariate Statistics. This route is designed for students with a strong aptitude for formal mathematics who desire to master the theoretical underpinnings of uncertainty and randomness. (Please note that optional modules may vary from year to year.)
This distinctive full-year program builds the core quantitative skills demanded by leading industries and academia. Students gain from Warwick’s interdisciplinary mathematical culture, learning from expert faculty engaged in cutting-edge research.
The course culminates in a 60-credit dissertation project. This final project offers the chance to apply knowledge to conduct independent research on a cutting-edge topic.
This renowned course is expertly designed to equip you with the skills and knowledge to thrive as a professional statistician across a wide array of industries. Whether you're aiming for a role in data science, finance, healthcare, marketing, insurance, pharmaceuticals, quality management, government, or are looking for a springboard into a PhD or academic career, this program provides a pathway to success.
