Learn About Economic Modeling, Virtual Markets, and Machine Learning
This event is part of the Industry Insights series.
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With an MS in Economics degree, you will graduate with core analytical skills, which are valuable across a wide spectrum of careers and industries. Students in this program study the behavioral aspect of the economy, analyzing economic theory and data to develop a deeper understanding of market structures.
The School of Economics’ newest degree offering, the MS in Economics & Computer Science, provides an opportunity to focus on the practical application of economic theory in a data-driven environment. With the intersection of economics and computer science, it is necessary to understand how to train neural networks for a deeper analysis of market design and predictive modeling in the era of big data.
Join us on March 13th for a virtual faculty-led discussion about economic modeling, virtual markets, machine learning and policy evaluation led by Mark Stehr, Associate Professor and Assistant Director of the School of Economics.