This challenging Master’s-level degree in Mathematics and Statistics builds advanced numeracy skills for postgraduate pursuits or data-driven careers. It integrates a robust mathematical foundation with cutting-edge developments in statistics and machine learning, mirroring the BSc structure in the first two years before delving deeper into sophisticated techniques in Years 3 and 4. Delivered in a state-of-the-art facility by experienced mathematicians and statisticians, the program emphasizes research links and real-world applications, starting with broad introductions to pure and applied mathematics, probability, and programming in Year 1, and increasing focus on statistics thereafter.In the final year, students undertake a substantial project—either theoretical or applied, potentially with external partners—to gain practical context. Assessment includes written and computer-based exams, reports, and presentations, with the final project comprising one-third of Year 4 marks. Core Year 1 modules cover analysis, calculus, linear algebra, dynamics, probability, programming, and statistics foundations.
A local representative of Durham University in Singapore is available online to assist you with enquiries about this course.