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Pace's High-level Approach

• Gain quantitative skills and data analytics applied to questions in business and economics.
• Code fluently and manage large datasets using R, Python and SQL
• Conduct econometric and machine learning techniques in Stata, R, and Python

Take Courses Like…

• Economic Data Analysis (R & Python)

Opportunities and Experiences

Federal Reserve Challenge: This team offers a unique chance for students to compete with other schools and test their knowledge of the US economy, monetary policy, and the role of the Federal Reserve System. Â̾ÞÈËÊÓƵ’s team has developed a championship pedigree, winning the national competition five times in eight years.

Fiscal Challenge: This team gives students the opportunity to compete with other schools and test their knowledge of fiscal policy, the US economy, and the role of the federal government in smoothing business cycles.

Economics Clubs: Join the Economics Society or Women in Economics to learn more about the discipline, get help with coursework, connect with alumni, plan for the future, and meet new friends.

Brown Bag Seminar Series: Every month, two to three students, alumni, or invited speakers present their work-in-progress research. This allows students to see what other people are working on, workshop their own research, and network with alumni and industry professionals.

Choose Your Career in Computational Economics

Potential career paths for students with a BS in Computational Economics include:

• Business Intelligence Analyst
• Business Intelligence Architect/Developer
• Chief Information Officer
• Computer Scientist
• Data Scientist, Data /Data Mining Analyst
• Economist
• Financial Quantitative Analyst
• Market Research Analyst
• Policy Analyst
• Social Science Researcher
• Statistician

What You Need To Know About the Computational Economics Program

Program admissions requirements are identical to the University’s admission requirements and any exceptions are consistent with the University's general policy.