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Pace University BS Computational Economics
Pace University

BS Computational Economics

New York, USA

4 Years

English

Full time

15 Dec 2024

Sep 2025

USD 51,382 / per year *

On-Campus

* additional fees may apply

Introduction

Our interdisciplinary BS in Computational Economics program teaches you cutting-edge quantitative skills to answer economic questions using the power of computer science and information technology. 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.

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

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. Pace University’s team has developed a championship pedigree, winning the national competition five times in eight years.

Fiscal Challenge: This team allows students 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 research, and network with alumni and industry professionals.

Admissions

Scholarships and Funding

Curriculum

Program Tuition Fee

Career Opportunities

About the School

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