
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
You may also be interested in these courses:
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