MSc Applied Statistics and Data Science

The Applied Statistics and Data Science MSc course at Queen Mary University of London is a one-year, full-time degree offering advanced instruction in the theories and methods of statistics, while also providing practical training in data science specialities such as machine learning and data mining. This interdisciplinary course engages with the vibrant research community of the University, and also benefits from London's unique status as a hub of both statistical theory and application.Course Content: The course material provides a blend of modern statistical theory, methods, and applications with a strong emphasis on practical skills, software and computational implementation. Students also have the flexibility to study part-time over two years. The course is particularly well suited for students who want to pursue graduate jobs as data scientists, statisticians, and analysts. Key Modules: The key modules include Mathematical Methods in Statistical Machine Learning, Probabilistic Methods in Machine Learning, Applied Statistics, Statistical Theory, and Time Series and Forecasting.Accreditations: The course is accredited by the Royal Statistical Society and successful completion of the course offers combination of two awards: Graduate Statistician and professional award, the Statistician (GradStat).Future Careers: Graduates of this course can seek career opportunities in a range of industries include technology, finance, government and academia. The course provides graduates with knowledge and understanding of applied statistics, data science, and the business context to these, thereby equipping them for future leadership roles in big data and Machine Learning projects.For more information on this course, please visit the official course page.