Modules

Year 1 Statistics is the science of working with data. Statistics relies on mathematics, and statisticians with a deep knowledge of mathematics have interesting and highly varied careers. In your first year, you’ll build a solid mathematical foundation that underpins statistics and the rest of your degree. You won’t just learn the theory; you’ll master Python programming, one of the most in-demand skills in industry today, opening doors to cutting-edge careers in data science, finance, and technology. You will develop mathematical knowledge in calculus, matrices and probability, and discover how computational mathematics can reveal powerful new insights from complex data. Throughout the course, you will benefit from direct support from expert lecturers in small, friendly group sessions designed to give you a truly personalised experience. By the end of your first year, you’ll not only be primed for success on the course but you’ll have the freedom to tailor your journey, with the flexibility to switch to one of our other exciting specialist mathematics degrees if your interests change. Year 2 In Year 2, you’ll take both mathematical and statistical learning to the next level; exploring mathematical models for scientific and natural processes. As these models involve unknown quantities that are estimated from data, we’ll introduce you to a range of statistical estimation methods, some of which are related to Machine Learning. You may have met some of these methods – like linear regression – before, but most will be new to you. You won’t just deepen your knowledge; you’ll sharpen your employability skills. In our case studies from industry module, you’ll apply mathematics to genuine business challenges, mastering operational research – the mathematics of decision making in business. You will be taught Monte Carlo methods which are industry-standard techniques used to solve intricate logistical problems, the same tools used in finance, engineering and supply chain optimisation around the world. By the end of your second year, you won’t just have a deep understanding of key mathematical and statistical concepts, you’ll have a cutting-edge toolkit of modern problem-solving skills that employers are searching for. Optional placement year Our placement year is your chance to step into the real world and make an immediate impact. You’ll apply your mathematical and statistical expertise within a professional context, from industry to healthcare and pharmaceutical research and beyond. Whether you’re optimising business strategies, driving innovation or contributing to life-changing research, you’ll see first-hand how powerful and versatile your skills really are. Not only will you gain invaluable experience and confidence, but many of our placement students secure graduate roles as a direct result of their year in industry. In addition to the skills and experiences you will gain, placement salaries are typically around £20,000. When you return to Plymouth, you’ll come back energised and inspired, with a clear vision of how mathematics and computer science shapes the world and a renewed drive to excel in your final year. Final year In your final year, you take a deep dive into specialised statistics topics including medical statistics and Big Data. We’ll help you to design a clinical trial, to combine evidence from large-scale medical studies, and to evaluate techniques for controlling the spread of diseases. A standout feature of the final year is your project work – whether it’s a research-driven individual project under the guidance of a statistics expert, a dynamic industry placement, a school-based experience or a collaborative case study in a small team. For up to date details, please refer to our website or contact the institution directly.

Assessment method

For up to date details, please refer to our website or contact the institution directly.

Qualified teacher status (QTS)

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

• Course does not award QTS