The MSc Econometrics and Mathematical Economics is a technically rigorous programme designed to meet the needs of those who have a strong quantitative background wishing to study economics. It is aimed at mathematicians, statisticians, physical scientists and engineers, as well as graduate economists.
The programme begins with a compulsory introductory course designed to provide you with the essential foundations in macroeconomics, microeconomics and econometrics. This will prepare you for the advanced level of the core teaching programme.
You will then take courses in Advanced Microeconomics, Advanced Macroeconomics and Econometric Analysis, in addition to a fourth elective course. Options are diverse, and include courses as varied as International Economics, Monetary Economics, Corporate Finance, Asset Markets, Portfolio Management and Stochastic Processes.
This programme will be ideal if you would like to pursue a career as an economist or econometrician, in a variety of industries. Many graduates also choose to proceed to PhD study.
The technical level of the material covered is perhaps higher than for any other master's degree in the area, and the programme has a long-standing international reputation, with many distinguished economists and econometricians among its graduates.
Our former students are employed as economists in a wide range of national and international organisations in government, international institutions, business and finance. In recent years, our graduates have gained employment in organisations such as Goldman Sachs, JP Morgan, Bank of America, Credit Suisse, NERA Economic Consulting, PwC, Deloitte, Compass Lexecon, McKinsey, IMF, World Bank, European Bank for Reconstruction and Development, Bundesbank, Bank of England, and HM Treasury.
Approximately one third of students proceed to PHD programmes at LSE or other leading universities such as MIT, Princeton, Stanford, UC Berkeley, NYU, Northwestern, UPenn, Columbia, Yale, MIT Sloan, Stanford GSB, Wharton, Kellogg, Berkeley Haas, UCLA, Michigan, Duke, Caltech, Wisconsin-Madison and Cornell.