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Different course options

Study mode

Full time

Duration

10 months

Start date

AUG-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Mathematics (General) Econometrics

Course type

Taught

Course Summary

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.

Assessment

All taught courses are required to include formative coursework which is unassessed. It is designed to help prepare you for summative assessment which counts towards the course mark and to the degree award. LSE uses a range of formative assessment, such as essays, problem sets, case studies, reports, quizzes, mock exams and many others.

Careers

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.

Modules

This module covers advanced treatment of the theory of estimation and inference for econometric models.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£35,472

International fees
Course fees for EU and international students

For this course (per year)

£36,168

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.