Program Overview

This course offers you an opportunity to combine your passion for mathematics with the latest statistical modelling and data analysis methods with many real-world applications. You will explore topics from familiar areas such as calculus, algebra and probability in a new and inspiring way, and extend your knowledge into more advanced topics such as statistical modelling and computer simulations, with applications in medicine and finance.

Learn the underlying mathematics that underpins the rest of your degree and master coding in the industrial software Python, right from the start. You’ll begin by building on the mathematical skills and topics you learnt at school, studying six core modules including calculus, linear algebra, numerical methods, pure mathematics, and probability. We’ve structured the curriculum so that all of our students acquire a common mathematical expertise, so you’ll also have the flexibility to move between courses as you progress.

Key features

• Learn with excellent research-active lecturers, who design clinical trials, collaborate with national and international health organisations, and provide consultancy to environmental organisations, medical practitioners and financial institutions.
• Experience hands-on learning by working on real-life case studies provided by established companies including Babcock, BT and Plymouth Community Homes.
• Gain high-level programming skills and become proficient in using state-of-the-art mathematical and statistical software including Python, R and Stan.
• Benefit from being part of the close-knit, collaborative and supportive family that is Mathematical Sciences at Plymouth. This includes small group tutorials, study space next to staff offices, our lecturers’ open-door policy, student-led learning sessions and the Maths Society.
• Enjoy new facilities – state of the art lecture theatres, computer laboratories, study and social spaces – in our
• £50 million teaching and research building.
• Core modules are shared with BSc Mathematics, allowing the flexibility of easy transfer to our other mathematics degrees.
• Meet the mathematics and statistics of sustainability and climate change in our Mathematics of Planet Earth module.
• You will become a creative and analytical problem solver, able to discuss technical results with non-specialists. These are skills that are highly sought after by employers.

Important Features

Optional Placement