Program Overview
Quantitative Economics Program
The B.S. in Quantitative Economics provides training in state-of-the-art quantitative methods to conduct rigorous analysis in all areas of economics and business.
Economic Analysis
Built upon the core macro and micro theories, it expands on a more rigorous path.
Quantitative Methods
Emphasis is placed on econometric methods, data analysis, and programming.
Empirical Research
Students develop and write an original thesis.
STEM Major
This is a Bachelor of Sciences with extended OPT.
Careers
The B.S. in Quantitative Economics is aimed at students seeking to acquire quantitative skills to apply in economic and business analysis. Career paths include:
- Banking
- Finance
- Real Estate
- Data Science
- Graduate School
Areas of Study
Some areas of study include:
- Policy Analysis
- Economic Theory
- Market Competition
- Statistical Modeling
- Machine Learning
Application and Requirements
How to Apply
To apply, students must:
- Download and complete the Quantitative Economics fillable concentration form.
- Download and complete the fillable declaration form.
- Submit the forms via virtual form submission or in-person advisement.
Requirements
Requirements for Quantitative Economics Majors include:
- A C- or better in each of the 16 or 17 courses used to obtain a major in Quantitative Economics.
- A GPA of 2.7 average or better from 16 or 17 courses.
- A maximum number of transfer credits is 15.
- Students can choose the Math 141, Math 142, Math 143 calculus sequence, or the Math 151, Math 152 calculus sequence.
Curriculum
The curriculum consists of 13 required courses and 4 electives, including:
- MATH 141 and MATH 142 and MATH 143, or MATH 151 and MATH 152
- MATH 231: Linear Algebra
- ECON 101: Intro to Macroeconomics
- ECON 102: Intro to Microeconomics
- ECON 201: Macro-Economic Analysis
- ECON 202: Price Theory
- MATH 241: Introduction to Probability and Statistics
- ECON 382: Econometrics
- ECON 387: Advanced Econometrics
- CSCI 087: Introduction to Scientific Computing, or CSC 111: Introduction to Algorithmic Problem-Solving
- ECON 392W: Economics Honor Seminar, or BUS 392W: Business Honors Seminar
- Four electives from the Quantitative Majors Electives
