2022-2023 Catalog 
    
    May 26, 2024  
2022-2023 Catalog [ARCHIVED CATALOG]

Economics, Quantitative (B.S.)


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Professor MacLeod

Emeritus Professor Gitter
Associate Professors Bryan, Rahman, Skosples, Yazar
Assistant Professors Georgic, Vollrath, West
, Younkman

Primary Economics Faculty: Georgic, Gitter, Rahman, Skosples, Yazar

The Quantitative Economics major incorporates 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.

Required Courses


Required Courses:

ECON 110  – Principles of Economics
ECON 251  – Research Methods
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 Programming

Elective Courses


Quantitative Electives: - 4 course, of which:


Economics Electives – 2 courses:

ECON 353  – Development Economics
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  – Database and 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.

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