Professor KaltenbergÂ鶹´«Ã½™s research expertise is twofoldÂ鶹´«Ã½“building large datasets that contains unique data through web-scraping and applied econometrics.
Computational Economics, BS
The ability to analyze complex data and forecast economic trends is more valuable than ever. With a computational economics degree from Â鶹´«Ã½, youÂ鶹´«Ã½™ll develop expertise in programming, data analysis, and economic computation to solve financial and business challenges.
Location
New York City
Westchester
Number of Credits
120
Start Date
Fall, Spring
F1 Visa Eligible
Yes
STEM Designated Program
Yes
Turn Big Data into Big Insights with an Economics Computation Degree
The future of business and finance depends on experts who can analyze massive datasets, develop predictive models, and apply advanced econometrics techniques. Â鶹´«Ã½Â鶹´«Ã½™s computational economics program combines computer science, quantitative analysis, and economic theory to prepare you for cutting-edge roles in data science, finance, and policy analysis.
Studying in the nationally recognized Dyson College of Arts and Sciences and the Seidenberg School of Computer Science and Information SystemsÂ鶹´«Ã½”one of the countryÂ鶹´«Ã½™s first comprehensive computing schoolsÂ鶹´«Ã½”youÂ鶹´«Ã½™ll gain hands-on experience in programming languages such as Python, R, STATA, and SQL while working with real-world economic datasets. YouÂ鶹´«Ã½™ll also develop machine learning, econometrics, and data visualization skills to tackle challenges in financial forecasting, risk analysis, and business intelligence.
Outside the classroom, youÂ鶹´«Ã½™ll have opportunities to compete in the and , work on research projects in the Brown Bag Seminar Series, present your research at national and international professional conferences, and network with professionals through the . Our graduates go on to work as data scientists, financial analysts, data analysts, database managers, policy analysts, and economists at top companies and government institutions.
27.61%
data analysis and mathematics projected employment growth (Source: Burning Glass, 2022)
48.02%
projected job growth utilizing Python skills training embedded in the program (Source: Burning Glass, 2022)
8.45%
projected job growth utilizing SQL skills training embedded in the program (Source: Burning Glass, 2022)
Curriculum
Through our thoughtfully-designed curriculum youÂ鶹´«Ã½™ll 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.
Take Courses Like
Â鶹´«Ã½s
With a background in computational economics, youÂ鶹´«Ã½™ll be uniquely prepared to add value to a wide variety of corporations, small business, and nonprofits at the intersection of technology and business.
As a Pace student, youÂ鶹´«Ã½™ll have the opportunity to connect with our robust career services team to develop a career plan that best fits your goals.
Our graduates are prepared for jobs like:
Salary stats below sourced from Glassdoor, Indeed.com, Salary.com, and U.S Bureau of Labor Statistics
- Business Intelligence Analyst (Average Salary: $76,000Â鶹´«Ã½“$136,000)
- Business Intelligence Architect/Developer (Average Salary: $85,000Â鶹´«Ã½“$159,000)
- Chief Information Officer (Average Salary: $215,000Â鶹´«Ã½“$257,500)
- Computer Scientist (Average Salary: $99,000Â鶹´«Ã½“$158,500)
- Data Scientist, Data /Data Mining Analyst (Average Salary: $100,000Â鶹´«Ã½“$150,000)
- Economist (Average Salary: $75,000Â鶹´«Ã½“$140,000)
- Financial Quantitative Analyst (Average Salary: $85,000Â鶹´«Ã½“$150,000)
- Market Research Analyst (Average Salary: $60,000Â鶹´«Ã½“$120,000)
- Policy Analyst (Average Salary: $60,000Â鶹´«Ã½“$110,000)
- Social Science Researcher (Average Salary: $50,000Â鶹´«Ã½“$100,000)
Featured Faculty
Chairperson ShostyaÂ鶹´«Ã½™s research interests include transition economies, higher education, sustainable development, and China economic studies.
Professor CamajÂ鶹´«Ã½™s research focuses on economic fundamentals and contemporary world markets, the international financial markets, and financial modeling.
Admission and Financial Aid
Ready to take charge of your future? Pace is with you every step of the way, providing a world class education and the skills your industry will be looking for far into the future.
-
- November 1: Early Decision
- November 15: Early Action I
- December 1: Early Action II
- February 15: Regular Decision
Explore required documents and admission decision dates for first-year, transfer, and international students.
-
Ready to apply? Begin your application process.
-
Understanding the value of a degree is essential, especially in terms of return on investment (ROI). According to The Georgetown University Center on Education and the Workforce, Â鶹´«Ã½ is in the top 6% of U.S. colleges that provide the best return on tuition investment.
For the 2024Â鶹´«Ã½“2025 academic year, full-time undergraduate tuition is $51,382. However, many students pay significantly less due to our generous merit scholarships, which offer up to $33,000 annually, as well as need-based scholarships, grants, on-campus employment opportunities, and loans. Pace is more affordable than you think. Financial assistance can come from many places, including scholarships, grants, on-campus employment, and loans.
Merit Scholarship Estimator
based on your academic achievements to see how much merit aid you may receive.
Net Price Calculator
Use our Net Price Calculator to estimate your annual education costs and financial aid package.
-
who are here to support you every step of the way. Schedule a one-on-one appointment to discuss your goals, application questions, and any other information you need to make an informed decision about your future at Pace.
Top 6%
Did You Know?
Pace is ranked in the top 6% nationally for return on investment (Source: The Georgetown University Center on Education and the Workforce)
Contact Us
Admission Contact
Office of Undergraduate Admission
New York City: (212) 346-1323
Westchester: (914) 773-3746
Email: undergradadmission@pace.edu
Departmental Contact
Pradeep Gopalakrishna, PhD
Email: pgopalakrishna@pace.edu