The BSc Mathematics and Data Science combines a traditional mathematics degree with outstanding training in data science. You will learn the fundamental mathematical and computational techniques underpinning data science applications, with coverage of machine learning and statistical modelling, tools for handling large and complex datasets, and gain an overview of the social and governance context for data science. Content will be delivered through a combination of lectures, and individual and group-based projects using real world data on the Exeter Streatham campus. Assessment for all degrees is through a combination of examinations and coursework. Examinations are the more important part of the process, but the assessed coursework will help you to work steadily throughout your degree. This is particularly important in Mathematics where the subject matter develops logically from fairly simple beginnings. Written examinations for Mathematics modules are held in January and May/June of the first and second years and in May/June of each subsequent year. Most modules also have either a mid-term test or coursework contributing to the assessment. Coursework typically contributes 20% to the assessment of all modules. In the third years several modules allow you to undertake further coursework to contribute to your overall degree classification. The curriculum has been developed with partner employers, including IBM, the Met Office, South West Water Black Swan and Oxygen House and has been designed to deliver skills that are most valued by employers, including the soft skills (e.g. communication, presentation and teamwork skills) that have been consistently emphasised during consultations. Modules will use the employers’ methods, platforms, software and data, to ensure that they are fully reflective of workplace practice. Throughout your studies you will conduct individual and group projects using real world data sets. We have engaged in extensive stakeholder consultation with large national and international companies (Met Office, BT, IBM) and smaller local SMEs who consistently advocate the need for a course which prepares graduates for data science and data analyst roles.