Mathematics with a Year in Industry - BSc

Our BSc in Mathematics with a Year in Industry provides a rigorous foundation in advanced mathematical theory and its applications. You’ll develop a well-rounded knowledge of key subdisciplines while having the flexibility to specialise in areas that interest you. In your first and second years, you'll cover core subjects like calculus, algebra, probability, and statistics. From your second year onwards, you can choose to specialise in specific areas or explore a broad range of subjects with extensive options in your fourth year, ranging pure mathematics to financial mathematics, and from statistics to theoretical physics. 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 you 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. The course equips you with a highly sought-after skillset, enabling you to apply creative and deductive thinking to a range of exciting careers, including in emerging technologies such as big data and AI. Key benefits - 8th in the UK for Mathematics (QS and Times Higher Education subject rankings 2025). - Wide choice of modules taught by renowned experts across everything from statistics and probability, to financial mathematics and data science, to algorithms and AI, and biological mathematics. - Our graduates are highly employable, entering into careers that include banking, consultancy, accountancy, healthcare, government and management. - Get a placement through the Department’s close links with major UK and international companies. - 6th in the UK for producing the most employable graduates (Times Higher Education Graduate Employability rankings 2025). - Central location puts you close to the heart of the business and financial world in the City of London.