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 (21 June – 9 July 2021) - Applications closed

EC101: Introductory Microeconomics
EC201: Intermediate Microeconomics
EC204: Financial Markets and the Global Economy: the History of Bubbles, Crashes and Inflations

Session Two (12 – 30 July 2021) - Applications closed

EC102: Introductory Macroeconomics
EC200: Introduction to Behavioural Economics
EC202: Intermediate Macroeconomics
EC240: Environmental Economics & Sustainable Development
EC320: Applied Econometrics and Big Data 

Session Three (2 - 20 August 2021) - Applications closed

EC104: The Wealth (and Poverty) of Nations: Global Economic Development Past and Present
EC212: Introduction to Econometrics

 

You may also be interested in these courses:

ME116: Essential Statistics for Economics and Econometrics
ME117: Further Statistics for Economics and Econometrics
ME306: Real Analysis
ME314: Introduction to Data Science and Machine Learning

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