Economics, Quantitative Major (B.S.)

Professors: Bryan, MacLeod

Associate Professors: Rahman, Skosples, Vollrath, Yazar

Assistant Professors: Georgic, Hurst, Nauman, Younkman

Primary Economics Faculty: Georgic, Rahman, Skosples, Yazar

Emeritus Faculty: Gitter

The Quantitative Economics is a STEM-eligible major incorporating a balance of economic theory, mathematical tools, and field applications, while emphasizing the development of analytical skills. Students will complete three sets of requirements for the major: mathematics and statistics courses that provide the skills needed for understanding economic theory and analyzing data; economic theory courses that provide the tools needed for understanding economic issues; and field courses that apply economic tools to business, social, or specialized analytical issues.

Learning Objectives

Students who complete the Quantitative Economics major will be able to:

demonstrate knowledge in core economic areas with an integrative view of economic concepts (analysis, institutions, policy).
exhibit strong mathematical content knowledge of differential and integral calculus.
exhibit strong statistical and econometric knowledge.
apply concepts and techniques from mathematics and statistics to economic problems.
showcase their analytical and critical thinking skills.
rigorously interpret, analyze, and present data.
perform basic computer programming.
communicate economic ideas and make economic arguments through effective communication of written and spoken word.

Major Requirements

Economics and Business Department Courses – A C- or better is required in all prerequisite courses.

A total of 12 units consisting of the following:

Required Courses

ECON 110 Principles of Economics
ECON 251 Research Methods in Economics
ECON 252 Intermediate Microeconomics
ECON 259 National Income and Business Cycles
MATH 110 Calculus I
MATH 230 Applied Statistics
ECON 355 Econometrics
CS 110 Introduction to Computer Science and Programming

Elective Courses

Quantitative Electives: - 4 courses, of which:

Economics Electives – 2 courses:

ECON 353 Economic Development
ECON 372 International Economics
ECON 375 Industrial Organization
ECON 378 Public Finance
ECON 385 Mathematical Analysis for Economists
ECON 387 Introduction to Game Theory
ECON 388 Behavioral Economics

Mathematics and Computer Science Electives – 2 courses:

MATH 111 Calculus II
MATH 210 Multivariable Calculus
MATH 280 Differential Equations
CS 210 Intermediate Computer Science and Data Structures
CS 300 1 Data Mining & Machine Learning

Note(s):

Other Information

Capstone Experience

Students majoring in Quantitative Economics are required to complete a quantitative capstone experience. This experience can be completed via a substantial quantitative project either in a course or an independent study. For instance, an individual project, including a presentation of results in the Econometrics course would satisfy the capstone experience requirement.

Competencies

ECON 110 meets the Reason Formally and Quantitatively competency.

ECON 251 meets the Question Scientifically competency.

ECON 353 meets the Act Responsibly competency.