Duration

4 years

Starting Date

January, September

Tuition Fee

$49,550 per year

Location

New York City or Pleasantville, United States

About the Course

In our interdisciplinary BS in Computational Economics from Pace University you 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.

Opportunities

  • 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. Pace University’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.

Career

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

Courses Included

  • Macroeconomics
  • Microeconomics
  • Quantitative Analysis and Forecasting
  • Mathematical Economics
  • Econometrics: Models and Organizations

Interested? Get Started Today!

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