Mathematics and statistics underpin processes that keep society functioning. Clinical trials analysing life-threatening illnesses, supermarkets managing their product buying and distribution, and insurance companies assessing their exposure to risks all use sophisticated statistical models.
You'll build the analytical abilities you need to make sense of the vast amount of data available to organisations so they can make faster, smarter decisions. You'll discover how to apply mathematical models to the study of biology and infectious diseases and model operational research solutions to areas such as planning, scheduling, forecasting and supply chain management.
At the end of the course, you'll have taken the first steps towards becoming a Chartered Mathematician and be set for a career in industries such as government research, finance, healthcare and marketing.
Course highlights
- Develop your knowledge of fundamental topics such as mathematical models, statistical theory and methods, operational research and quantitative supply chain management.
- Choose specialist modules that match your interests and career ambitions, such as mathematics for finance, astrophysics, cosmology, financial derivative pricing and decision modelling.
- Learn to use industry-standard mathematical, statistical and operational research software.
- Apply your skills on optional work placements in the community, such as assisting math teachers in local schools.
- Learn from renowned researchers such as Dr Jamie Foster, who's calculated the formula to the perfect cup of coffee by modelling the brewing process – an efficient solution that could reduce waste and make the process more sustainable.
- Investigate theories alongside the University's mathematicians — 95% of our research in Mathematics was rated as world-leading or internationally excellent and we're ranked top among modern UK universities for overall performance and research environment.
Accreditation
This course is accredited by the Institution of Mathematics and Its Applications (IMA).