Economics

Master of Science

Examine the way in which producers, consumers, and resource owners acting through the market determine the prices and output of goods, the allocation of productive resources, and the functional distribution of incomes. The price system is seen as a network of interrelated decisions, with the market process serving to communicate information to decision makers.

This course examines the key statistical concepts and tools used to study business and economic data. You will explore the process of gathering, assembling, interpreting, and utilizing data. The emphasis will be on applied statistical analysis and regression modeling with applications in digital platforms, online markets, and emerging technology sectors. You will gain proficiency in Python and R.

This course introduces statistical and econometric techniques used to analyze economic data. Topics include regression analysis, hypothesis testing, and causal inference with real-world policy and market research applications.

Explore modern machine learning techniques and their applications in economics. Topics include supervised and unsupervised learning, predictive modeling, and data-driven decision-making, with hands-on implementation using economic datasets.

A continuation of Microeconomic Theory I, this course delves into game theory, information economics, and strategic decision-making. Applications focus on digital markets, auctions, and dynamic pricing strategies in data-driven economies.

Examine macroeconomic principles in the context of digital economies. Topics include economic growth, monetary policy, digital currency, and global trade, with a focus on how technological advancements shape modern economic systems.

This course provides a comprehensive introduction to the field of experimental economics, where controlled experiments are used to test economic theories and explore human behavior in market settings. Topics include experimental design, the study of preferences, decision-making under uncertainty, market behavior, and behavioral biases. You will conduct your own experiments and analyze real-world data to understand how experimental methods provide insights into the functioning of markets.

This course covers the strategic behavior of firms in competitive markets, examining how firms interact, compete, and collaborate within various market structures. You will explore pricing strategies, market entry and exit, product differentiation, oligopoly, and the role of government regulation in maintaining competitive markets. A key focus will be on applying economic theory to real-world business decisions, emphasizing data-driven analysis of market competition.

This course delves into market design, focusing on how institutions and mechanisms are structured to facilitate efficient and fair exchanges. You will study the theory and application of matching markets, auction design, pricing mechanisms, and market-clearing methods in both traditional and digital environments. The course applies market design theory to real-world cases, including digital platforms, online auctions, and resource allocation in various sectors.