King's College London

Our Mathematics with Statistics with a Year in Industry BSc provides a rigorous foundation in the fundamental aspects of both subjects. This is accompanied by a year-long professional placement in a major UK company, where you can apply your learning and gain crucial skills and experience for your future career.

In your first and second years, you’ll develop a deep understanding of a broad range of contemporary statistical methods, including the ability to apply them to solve complex problems. In mathematics you’ll cover core areas of pure and applied mathematics.

The programme equips you with a highly sought-after skillset, including an understanding of Machine Learning, data science and AI, enabling you to apply analytical and deductive thinking to data-rich environments in sectors such as tech, business and finance, healthcare, government and research.

The Department of Mathematics at King’s College London has a long and distinguished history as a world-leading centre for research and education. By joining us, you will learn from and work alongside some of the foremost mathematical minds in the world. Our goal is to develop graduates with a pioneering mindset through research-led teaching, which encourages new ways of looking at familiar issues and develops innovative tools to solve complex problems.

In a world driven by data, studying statistics is more crucial than ever. It is a highly sought-after skill across all sectors, including Data Science, AI and Machine Learning. Our BSc programme develops proficiency across key branches of mathematics and statistics, teaching you how data is analysed, used and represented in society. By combining conceptual and analytical skills from mathematics with modelling and data analysis from statistics, you will build a unique toolkit for solving complex, real-world problems.

In your first and second years, you will cover robust statistical methods and their applications across various fields, such as healthcare, finance and social sciences. You will also understand the professional and ethical responsibilities of statisticians, including approaches to reliability and the quantification of uncertainty.

From your second year onwards, you can choose from a range of optional modules, with the flexibility to specialise in the areas that interest you, or take a broader approach, including choosing from diverse modules in your fourth year that cover topics including machine learning, computational methods, mathematics for finance, theoretical physics, geometry, number theory and algebra. You can also choose to apply your learning by tackling a dissertation on a topic of your choice, benefiting from close supervision by one of our world-leading experts.

You will spend your third year gaining valuable work experience with a year-long placement at a UK company before returning to complete your final year with us. Finding an industry placement will require students to be resourceful and engaged. The Faculty has dedicated placement support providing advice and host employer-led events, ensuring you have all the tools to secure the right placement for you.