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MSc Political Economy of Development

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Duration: One calendar year (full-time) Two (part-time, daytime only). We recommend that part-time students have between two and a half and three days free in the week to pursue their course of study.

Overview

Minimum Entry Requirements: Good undergraduate degree in, or including, Economics

Start of programme: September intake only

Course Profile

The MSc in the Political Economy of Development is the latest addition to a portfolio of Masters programmes offered by the Department of Economics, and is designed for economists who want to concentrate on applied theory and to expand their regional expertise.

The MSc is a taught masters degree consisting of eight course modules taught by lectures, classes and tutorials and an 8,000 word dissertation.

There are four core units and four optional modules that make up the course.
The precise modules available vary from year to year, but include units on Agriculture, Finance, the Environment, Industry and International Macro- and Microeconomics.

Eight in-depth regional economic development modules are also available, covering:

  • Africa
  • The Asia-Pacific region
  • The Middle East
  • South Asia

Structure

All students registered for this MSc must take the SECOND Research Method module. However, if appropriate, Quantitative Methods I and II can be substituted for the FIRST Research Method module, where Quantitative Methods I takes place in term 1 and Quantitative Methods II in term 2. Please note that it is NOT possible to choose only one of the two Quantitative Method modules in place of FIRST Research Methods module and there is no overlap between Quantitative Methods II and the second Research Methods module.

The four compulsory modules are:

In addition, students take:

You may select from both the regional economics options and the theory options although your final choice is subject to the approval of the course tutor. You may also elect to do one or more of the compulsory modules from the other departmental MSc degrees.

The essay, written examinations and dissertation requirements for this degree programme are the same as for the other departmental MSc degrees except that the Research Methods II course is assessed by a 5,000-word project.

Programme Specification

Teaching & Learning

Teaching & Learning

The MSc includes eight taught modules plus a pre-sessional course in Mathematics and Statistics and an 8,000-word dissertation.

The courses are taught in seminar groups and lectures. The degrees are awarded on the basis of assessed coursework, examinations and the dissertation.

The MSc degrees are taught over a period of twelve months of full-time study within a structured programme. In the case of part-time study, the degrees will be taught over two years. Four modules are studied each year, with the dissertation normally being completed in the second year.

Lectures

Most courses involve a 50-minute lecture as a key component with linked tutorial classes.

Seminars

At Masters level there is particular emphasis on seminar work. Students make full-scale presentations and are expected to write papers that often require significant independent work.

Dissertation

Students are required to complete an 8,000-word dissertation in applied economics.

Learning Resources 

SOAS Library

SOAS Library is one of the world's most important academic libraries for the study of Africa, Asia and the Middle East, attracting scholars from all over the world. The Library houses over 1.2 million volumes, together with significant archival holdings, special collections and a growing network of electronic resources.

Pre Entry Reading

Pre-Sessional Mathematics and Statistics Course

Our MSc programmes attract students with a wide range of backgrounds including many who have worked for a few years before coming to SOAS. Our popular quantitative courses are designed to be accessible to all of our students including those with a relatively small quantitative component in their first degree. Our well-received quantitative courses focus on applying basic methods used in empirical research. They equip students to carry out their own high quality empirical work and critically evaluate research, with relatively little emphasis on advanced econometric theory and mathematical proofs.

Our quantitative methods teaching begins with a three-week pre-sessional course in mathematics, statistics and computing.
The objective of the course is to review the basic quantitative skills assumed once formal teaching commences. This course is compulsory. Further details on the Pre-Sessional Mathematics and Statistics Course.