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MSc Econometrics and Mathematical Economics

  • DeadlineStudy Details:

    MSc 10 months full-time

Course Description

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.

Entry Requirements

First class honours degree or equivalent with strong technical background in engineering, physical science, econometrics, statistics, mathematics, economics or other similarly quantitative fields.

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Fees

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Programme Funding

The School recognises that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to graduate students from the UK, EU and overseas.

This programme is eligible for needs-based awards from LSE, including the Graduate Support Scheme, Master’s Awards, and Anniversary Scholarships.

Student Destinations

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.

Module Details

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