Program Details

This programme is based in the Department of Mathematics, and is taught in collaboration with the Department of Finance and the
Location:
London, United Kingdom
Program Type:
Full Degree
Degree Level:
Master
Specialty:
Mathematics

Program Overview

Program Description:
This programme is based in the Department of Mathematics, and is taught in collaboration with the Department of Finance and the Department of Statistics. The programme provides high level instruction in the mathematical theory underlying finance, and training in appropriate computational methods. It offers the following benefits: Study in a leading university, internationally renowned for its research and teaching programmes. Focus on the development of student understanding of quantitative methodologies and techniques that are important for a range of jobs in investment banks and other financial institutions. Research-led teaching that aims at enhancing students’ critical appreciation of major issues and emerging theory in the area of financial mathematics. Preparation for a range of careers in the financial sector, industry and research. Opportunity to improve personal skills, including logical reasoning, quantitative analysis, independent learning and the presentation of technical results. This programme aims to develop students’ understanding of the foundations of financial mathematics, and to equip them with knowledge of a range of mathematical and computational techniques that are required for a variety of quantitative positions in the financial sector. It draws on LSE’s strengths in finance and related areas, and includes compulsory and optional courses given by the Department of Finance and the Department of Statistics Core courses: mathematics of the black sea and scholes theory; foundations of interest rate, foreign exchange, and credit-risk theory; stochastic processes; fixed income markets; computational methods in finance. At least one from: strategic analysis of options; probability and measure; stochastic analysis; computational learning theory and neural networks; game theory I; algorithms and computation; continuous-time optimisation; information, communication and cryptography. Up to two from a large range of others.

Additional Program Information

Financial Aid:
No
International Requirements:
IELTS 6.5 or TOEFL 603