King's College London

Our Mathematics with Statistics BSc provides you with a rigorous foundation of the fundamental aspects of both subjects. You will gain 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.

In your third year you’ll have the opportunity to complete a dissertation on a topic of your choice, working one-on-one with an academic supervisor, developing your independent research skills, critical thinking and creativity.

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.

You may transfer to the four-year Mathematics with Statistics with a Year Abroad BSc programme and spend your third year studying abroad, before returning to complete a final year with us. This depends on you reaching a certain grade average and being accepted by a partner university.

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 program develops proficiency across key branches of mathematics and statistics, teaching you how data is analyzed, used, and represented in society. By combining conceptual and analytical skills from mathematics with modeling 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 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 third 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 from three years of study to tackling a dissertation on a topic of your choice, benefiting from close supervision by one of our world-leading experts.