Mathematics and Finance

About this course

Mathematics and finance is a combination that reflects the deep mathematical foundations on which modern financial theory is built. Probability theory underpins derivative pricing; optimisation theory underpins portfolio management; and statistical methods are at the heart of risk analysis. Finance without mathematical rigour can produce dangerously imprecise results; mathematics in this context has direct and consequential practical applications. Students who develop both in parallel emerge with a genuinely powerful analytical toolkit. At York you will study the core areas of mathematics, including calculus, algebra, probability, statistics, and numerical methods, alongside the theory and practice of finance. Financial study covers corporate finance, investment theory, financial markets, risk management, and the quantitative methods that modern financial analysis employs. The programme

Where its graduates go

The 5 largest scored destinations, covering 94% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 10% of graduatescards →
• 60 / 100Business, Research and Administrative Professionals · 15% of graduatescards →
• 55 / 100Administrative occupations · 16% of graduatescards →
• 52 / 100Finance Professionals · 36% of graduatescards →
• 48 / 100Business and public service associate professionals · 17% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).