Mathematics with Finance

Mathematics with Finance is a programme that pairs the intellectual rigour of a mathematics degree with specialist knowledge of financial theory and practice. Mathematics provides the logical and quantitative toolkit, developing skills in proof, analysis, modelling, and computation that transfer across almost any domain. Finance brings these tools to bear on some of the most significant applied questions in economics and commerce: how assets are valued, how risk is measured and priced, how portfolios are optimised, and how financial institutions manage their obligations.

Together they equip you with a combination that is highly valued in the financial services industry and beyond.

Newcastle University's three-year full-time Mathematics with Finance programme develops strong mathematical foundations, covering calculus, linear algebra, probability, and statistical methods, and applies them to financial contexts including derivatives pricing, portfolio theory, financial modelling, and quantitative risk analysis. You will develop computational skills alongside mathematical theory, and the finance component provides both the conceptual frameworks and the institutional context needed to understand how financial markets and instruments actually behave. The programme includes a sandwich year, a year abroad, and a work placement, giving you structured opportunities to apply your quantitative skills in a professional financial environment and to study in an international academic setting.

These experiences are particularly valuable for a programme where industry exposure significantly strengthens your understanding of how mathematical methods translate into financial practice.

A typical entry tariff of 136 points reflects the programme's expectation of strong prior mathematics, and you will build progressively on that foundation throughout the degree.

Graduates from this combination are sought in investment banking, asset management, actuarial firms, quantitative trading, risk management, financial technology, and economic consultancy. Many also pursue postgraduate study in financial mathematics, quantitative finance, statistics, or economics, particularly for roles that demand highly specialist mathematical expertise.