In this digital and data-rich era, there is a high demand for statistics graduates from: industry the public sector academia However, the pool of graduates in this area is small. The recent growth of data science has highlighted the importance of statistics, with data analysis and results interpretation well-integrated into this newly recognised field. This programme trains the next generation of statisticians to become expert data scientists with knowledge and experience of well-established methodologies and recent advances. The syllabus combines rigorous statistical theory with hands-on practical experience applying statistical models to data from various application areas. In particular, the programme includes: frequentist and Bayesian methods for advanced statistical modelling computational statistics generalised regression models principles of statistically defensible data collection, management and curation Graduates will be in high demand. We anticipate most students will be employed as statisticians for private and public institutions providing statistical advice and consultancy. Links with Industry The School of Mathematics has connections with many of the following: industrial partners organisations charities government departments As an MSc student in the School you will have opportunities to engage with these external organisations through: regular employability events careers workshops our annual analytics challenge (whose recent partners have included Edinburgh Airport and the Data and Marketing Association) You will also have the opportunity to work on an industry-based, consultancy-style dissertation project. Recent partners for industry-based consultancy projects in the Statistics with Data Science MSc include: Lloyds Banking Group AzkoNobel Public Health Scotland Simply Business Accreditation This MSc is accredited by the Royal Statistical Society (RSS). Thus, this programme is recognised by RSS for the purpose of eligibility for the professional award of Graduate Statistician. The accreditation is based on the general depth, breadth, quality and foundation of the programme and its statistical content.