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Key information

Qualification type

MSc - Master of Science

Subject areas

Economic History Econometrics

Course type


Course Summary

The MSc Quantitative Economic History is designed for those with a strong grounding in undergraduate economics who wish to take the first steps towards a PhD in Quantitative Economic History. Although it can be taken as a standalone programme, you will need to meet certain criteria to progress through to the MRes and PhD stages of the programme. The MSc degree aims to increase students’ methodological competencies and to assist and inform their dissertation work. Successful completion of the MSc allows progression to the MRes in Quantitative Economic History, which builds on the foundations laid in the MSc and includes substantive courses in economics and economic history and the production of a research paper in quantitative economic history, as well as a research prospectus. Students leave the Department equipped for any profession that requires intellectual judgement, the ability to assess and analyse evidence and ideas, and good communication skills. Economic history graduates can be found in management and administration in the public and private sectors; academia; banking; journalism; economic consultancy; and library and museum services, to mention just a few.

Different course options

Full time | London School of Economics and Political Science, University of London | 1 year | 30-SEP-19

Study mode

Full time


1 year

Start date



This module provides a basic awareness of central themes and key methodological and theoretical issues in economic history.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Students should normally have a First class honours degree or equivalent with concentration on economics and quantitative subjects and at least a year of calculus, linear algebra and statistics, but an upper second class honours (2:1) degree or equivalent will be considered where there is strength in relevant areas.