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3 Mar 2026, 17:00
Plymouth
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 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.
This course may be available at alternative locations, please check if other course options are available.
Course optionsDiscover what it's like to study Mathematics with Statistics at University of Plymouth: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
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Course optionsDrake Circus
Plymouth
PL4 8AA
Email:admissions@plymouth.ac.uk
Phone:+44 (0) 1752 585858