The Master of Computational Economics (MCECON) is an innovative two-year, 40-credit, non-thesis graduate program designed to equip students with advanced computational and analytical training. These skills are increasingly vital for navigating and resolving complex economic challenges needed to compete in the modern workforce and for advanced study. The program uniquely integrates robust economic theory and rigorous econometric methodology with cutting-edge data science tools. Our interdisciplinary approach prepares graduates for a wide array of in-demand career opportunities across both the private and public sectors, while simultaneously offering a structured pathway for those aspiring to pursue further doctoral studies in economics.
Career Opportunities
As industries increasingly adopt data-driven decision-making processes, there is a discernible and growing demand for professionals who are proficient in computational economics techniques. The Master of Computational Economics program is specifically designed to produce graduates equipped with the precise skills required to meet this demand, thereby opening diverse career opportunities that seamlessly combine deep economic expertise with advanced computational proficiencies. Potential career paths include roles such as Economic Consultant, Policy Analyst, Financial Analyst, Quantitative Economic Analyst, Economic Risk Manager, Public-Sector Economist, Health Economics Analyst, and Environmental/Energy Economics Analyst. These roles underscore the versatility of a computational economics background, demonstrating its broad applicability across numerous professional domains.