Statisticians provide important information, using appropriate statistical techniques with the help of their analytical and problem-solving skills, to assess and evaluate a wide range of issues in many fields including science and technology. This involves data collection, analysis, interpretation, statistical estimation, prediction, statistical modelling and simulation. This programme aims to provide a thorough grounding in all of the techniques and principles commonly used by the professional statistician. It gives a firm foundation in the theoretical basis of these, but has an emphasis on application and the use of statistical software. There is a strong focus on the skills required by employers of graduate statisticians and Operational Research practitioners. The BSc Hons Statistics and Operational Research has been accredited by the Institute of Mathematics and its Applications to meet the educational requirements of the Chartered Mathematician designation when followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency for taught master’s degrees. There are work placement opportunities for students on this programme, and we recently introduced a final year course on Data Analytics with input from several employers to ensure that students are well placed to take up careers in this fast-growing field of mathematics. Since many of our students are interested in pursuing a career in teaching, we offer teaching experience through the Undergraduate Ambassadors Scheme. This encourages and nurtures a new generation of mathematicians and provides the opportunity to gain classroom experience through a final-year option. **Ranking** Greenwich mathematics degrees are ranked: * First in London for student satisfaction by the Complete University Guide 2017 * Within UK's top 5 for student satisfaction by the Complete University Guide 2017 **Outcomes** The aims of the programme are to: * Provide students with a comprehensive understanding of statistical methods and techniques * Provide students with the knowledge of a range of statistical modelling techniques and the ability to apply them to real-life problems * Ensure students are able to comprehend problems, formulate them statistically, analyse them using statistical software tools, obtain results by appropriate methods, and interpret them.