Our courses integrate the latest advancements in mathematics and related fields, equipping you with essential skills like creative problem-solving and logical reasoning, which are highly sought after across various industries. As a student at Surrey, you'll join a dynamic, supportive community with access to personal tutoring, small-group sessions, and an engaging, research-driven environment. Additionally, you can participate in our acclaimed Professional Training placements to prepare for diverse career paths.The programme builds on your existing knowledge, providing a solid foundation in mathematics, data science, and statistics, including topics such as algebra, analysis, probability, and advanced calculus. Data science and statistics modules account for one-quarter to one-third of the content. In your first year, you'll develop programming skills in Python, with further enhancement in Year 2 alongside R programming. By Year 3, you can select from optional modules like experimental design, asset pricing theory, Bayesian statistics, and graphs and networks. For full module details, visit our website.
To see the full range of modules for this course please visit our website – the link is under the Course contact details. You will also find full details of the programme, including programme structure, assessment methods, contact hours and Graduate prospects.
A local representative of University of Surrey in Singapore is available online to assist you with enquiries about this course.