the interdisciplinary bs in computational economics program teaches students cutting-edge quantitative skills to answer economic questions using the power of computer science and information technology. students will learn how to program, work with big data, and apply sophisticated quantitative techniques (i.e., ai, machine learning, econometrics) to answer questions in economics and business practices.

students gain quantitative skills and data analytics applied to questions in business and economics. students code fluently and manage large datasets using r, python and sql as well as conduct econometric and machine learning techniques in stata, r, and python.