Finance and Mathematics

Finance and mathematics is a degree for those who want to understand the quantitative foundations that underpin modern financial markets and institutions. Finance as an academic discipline draws on economics, accounting, and decision theory to study how capital is allocated, how assets are priced, and how risk is managed. Mathematics provides the rigorous tools, including probability theory, calculus, linear algebra, statistics, and numerical methods, through which the most powerful financial models are built and understood.

The two disciplines reinforce each other: the mathematical training gives you the analytical depth to go beyond surface-level financial knowledge, while the finance context gives the mathematics genuine application and purpose.

At the University of Essex you will study this three-year full-time degree, with a typical entry tariff of 88 points. Across the programme you will develop your mathematical abilities in areas including analysis, statistics, and stochastic processes, alongside financial economics content covering investment theory, corporate finance, derivatives, risk management, and financial markets. The combination means you will be equipped both to build and to critically evaluate the models that financial professionals use.

Quantitative methods for finance, including the mathematics of options pricing and portfolio optimisation, are central parts of the curriculum. Essex has a strong research profile in economics and finance, and the academic environment is one in which quantitative approaches to financial questions are taken seriously.

Graduates from finance and mathematics degrees are highly sought after in financial services, including investment banking, asset management, risk management, quantitative trading, and actuarial work. The strong quantitative skills also open doors in data science, financial technology, consulting, and economic analysis roles in government and international organisations. Many graduates also pursue postgraduate study in financial mathematics, quantitative finance, economics, or statistics, which can lead to more specialist research or practitioner roles in the industry.