Director: Andrew Meyer, Ph.D.

This interdisciplinary major blends mathematics and economics to provide the quantitative tools necessary for modern economic analysis. Economics students could find this major to be excellent training for employment as a business economist or excellent preparation for graduate study. The mathematics, engineering or science student who wants to use mathematical expertise to learn a business discipline could find this major to be an interesting and useful application of mathematics.

Applied Mathematical Economics Major

The major consists of 42 credit hours as follows: 18 credit hours in economics courses and 15 credit hours in math, from the required course list below. Electives include one upper-division economics course (3 credit hours) and two mathematics courses (6 credit hours) from the elective course listing below.

Required Economics Courses:
ECON 1103Principles of Microeconomics3
ECON 1104Principles of Macroeconomics3
ECON 3003Intermediate Microeconomic Analysis3
ECON 3004Intermediate Macroeconomic Analysis3
ECON 4060Introduction to Econometrics3
ECON 4065Mathematical Economics3
Required Mathematics Courses:
MATH 1450Calculus 14
MATH 1451Calculus 24
MATH 2450Calculus 34
MATH 4710Mathematical Statistics3
or MATH 4720 Statistical Methods
Elective Economic Courses: Choose one from the following courses3
Applied Business Economics
Industrial Organization
Economics and Law
Public Finance
Urban and Regional Economics
Environmental and Natural Resource Economics
Economics of Labor Markets
Economics of Healthcare and Health Policy
International Economic Issues
Global Integration of Financial Sectors
Comparative Economic Systems
International Trade
Development Economics
Economics and Ethics
Behavioral Economics
Money, Banking and Monetary Policy
Topics in Economics
Elective Mathematics Courses: Choose two from the following courses6
Differential Equations
Theory of Differential Equations
Linear Algebra and Matrix Theory
Mathematical Modeling and Analysis
Theory of Optimization
Theory of Probability
Time Series Analysis
Regression Analysis
Total Credit Hours:42