Economics

The staff were very passionate and they made it clear from the first day. I have nothing but respect for the amount of dedication they all put in toward preparing the course.
Miguel Louis Guerrero, University of California Davis, USA

Economics

LSE’s Department of Economics is one of the largest and most prestigious in the world. It is the highest ranked faculty in Europe, according to the 2021 QS World University Rankings, with no fewer than 13 Nobel Prizes among current and former professors and alumni. The Department’s reputation is far-reaching, with research that has influenced responses to major global challenges, such as climate change, economic instability, development and growth, at a global level.

In our highly international faculty, students will learn from global thought-leaders and gain a thorough understanding of economic principles grounded in rigorous research. A long-standing commitment to remaining at the cutting-edge of developments in the field has ensured the lasting impact of the work of the Department on the discipline as a whole. This ensures that students are equipped with the necessary analytical skills to tackle the world’s most pressing problems. 

 

Courses

Session One (20 June - 8 July 2022) 

EC101: Introductory Microeconomics

EC201: Intermediate Microeconomics

EC203: Real Estate Economics and Finance

EC204: Financial Markets and the Global Economy: the History of Bubbles, Crashes and Inflations 

EC235: Economics of European Integration

EC351: International Economics

 

Session Two (11 July - 29 July 2022)

EC102: Introductory Macroeconomics

EC200: Introduction to Behavioural Economics 

EC202: Intermediate Macroeconomics

EC240: Environmental Economics & Sustainable Development

EC260: The Political Economy of Public Policy  

EC270: Public Finance 

EC307: Development Economics

EC320: Applied Econometrics and Big Data

 

Session Three (1 August - 19 August 2022) 

EC104: The Wealth (and Poverty) of Nations: Global Economic Development Past and Present

EC212: Introduction to Econometrics

EC312: Advanced Econometrics

 

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ME116: Introduction to Statistics: Understanding the World through Data

ME117: Probability and Statistics for Economics and Econometrics

ME306: Real Analysis

ME314: Introduction to Data Science and Machine Learning