Financial Mathematics and Statistics

About this course

Financial mathematics and statistics sits at the quantitative heart of modern finance, combining the mathematical rigour and probabilistic thinking needed to model financial instruments and markets with the statistical methods required to extract patterns and insight from financial data. It is a discipline that trains you to think precisely about uncertainty, risk and the behaviour of complex systems, and it is highly valued by employers in investment banking, asset management, insurance, risk consultancy and financial technology. At the London School of Economics and Political Science this programme addresses the growing demand for graduates who can make sense of the data that increasingly dominates the business world. You will study mathematical finance, probability theory, stochastic processes, statistical inference, time series analysis, econometrics and numerical methods, developin

Where its graduates go

The 5 largest scored destinations, covering 95% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 10% of graduatescards →
• 60 / 100Business, Research and Administrative Professionals · 45% of graduatescards →
• 55 / 100Administrative occupations · 5% of graduatescards →
• 52 / 100Finance Professionals · 20% of graduatescards →
• 48 / 100Business and public service associate professionals · 15% 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).