MSc Applied Economics and Data Analysis

This course is run jointly with the Institute for Social and Economic Research (ISER). It has a more data orientated, applied focus that some of the other courses. It aims to equip students with an in-depth understanding of the analysis of data in economics. Compulsory modules include panel data methods and applications of data analysis, which are taught by ISER, as well as microeconomics and mathematical methods taught by the Department of Economics.

MSc in Applied Economics and Data Analysis has ESRC recognition, which means it can be taken with the PhD in Economics or the PhD in Applied Social and Economic Research, both offered in ISER, to make up a 1+3 pathway for those students intending to apply for ESRC funding.

Scheme Structure

Each module is worth 20 credits unless otherwise stated.
The scheme comprises 180 credits.

Compulsory components:

• EC903-7-AU Microeconomics
• EC511-7-AU Mathematical Methods
• EC968-7-SP Panel Data Methods
• EC969-7-SP Applications of Data Analysis
• EC981-7-FY Dissertation on an approved topic (40 credits)

20 credits chosen from the following list:

• EC501-7-AU Econometric Methods and Applications
• EC966-7-SP Estimation and Inference in Econometrics

40 credits chosen from the following list:

• EC902-7-SP Economic Development Theory
• EC904-7-AU Macroeconomics
• EC907-7-AU Economics of Financial Markets
• EC908-7-AU Topics in Financial Economics
• EC930-7-SP Theory of Industrial Organisation
• EC932-7-SP International Trade Theory
• EC933-7-SP International Finance
• EC938-7-AU Trade and Development
• EC943-7-SP Game Theory and Applications
• EC944-7-SP Topics in Labour Economics
• EC951-7-AU Economics of Organisational Management
• EC965-7-SP Time Series Econometrics
• EC967-7-SP Empirical Methods of Economics and Finance