Examines 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. Students 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. Students 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 applications to real-world policy and market research.

Explores 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 datadriven economies.

Examines 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 explores the use of laboratory and field experiments to test economic theories and inform policy. Students will design, implement, and analyze experiments related to market behavior, auctions, bargaining, and digital consumer decision-making.

An in-depth study of market structure, firm behavior, and competitive strategy. Topics include monopoly power, pricing strategies, mergers and acquisitions, and antitrust regulations, with applications to tech platforms and digital marketplaces.

Examines how labor markets function in the digital age, covering wage determination, human capital investment, the gig economy, and the impact of automation and AI on employment. Special focus on remote work, online labor platforms, and workforce policy.

A deep dive into the design of efficient and fair markets, with applications in matching algorithms, online auctions, and digital advertising. Students will explore case studies on ride-sharing, gig platforms, and e-commerce pricing models.

Analyzes the intersection of energy markets, environmental policy, and corporate strategy. Topics include carbon pricing, renewable energy adoption, and sustainability in digital businesses, with a focus on climate-conscious economic decision-making.

Explores the economics of sports in the digital era, covering sports analytics, online betting markets, media rights, sponsorships, and fan engagement strategies. Special attention to how technology and data impact decision-making in sports business.