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MA in Applied Economics Curriculum  - Mathematical Methods Concentration

This conncetration is intended for students with strong mathematics backgrounds. In this concentration, majority of the electives are graduate-level MATH and STAT courses. 

Program Summary

  • 30 hour minimum
  • Program can be completed in 1 year
  • 12-15 hour core—ECON 465G*, 502, 503, 506, 594
  • 12 hours of electives
  • 3-6 hour Econ 596 Applied project 
  • Maximum of 12 hours of 4XXG credit
  • Up to 6 hours of graduate coursework can be taken outside the Economics department, subject to approval by the program director. 

The program is designed so that it can be completed in one year. A typical schedule is 

Core Courses (15 hours)

ECON 465G* Regression and Econometrics (fall/spring)
ECON 502 – Applied Microeconomic Theory (fall)
ECON 503 – Applied Macroeconomic Theory (fall)
ECON 506 – Applied Statistical Methods (fall)
ECON 594 – Forecasting (spring)
*Students with prior credit for 465 or its equivalent will be required to take 3 additional hours of electives

Electives (12 hours)

At least 9 hours of electives must be MATH or STAT graduate level courses.
Available electives vary by semester. For the current list of courses see Class Schedule
Students may choose electives from the following courses: 
ECON 400G – Issues in Capital Market Economics
ECON 410G – Seminar in Economics
ECON 420G – Public Finance
ECON 430G – Environmental and Resource Economics
ECON 434G – Economics of Poverty and Discrimination
ECON 440G – American Industry
ECON 445G – Economics of Healthcare
ECON 464G – Introduction to Mathematical Economics
ECON 465G – Regression and Econometric Analysis
ECON 467G – American Economic History
ECON 475G – Urban and Regional Economics
ECON 496G – International Monetary Economics
ECON 507 – Data Methods in Economics
ECON 571  Public Policy Economics
ECON 585  Topics in Macroeconomics

ECON 595 – Labor and Human Resource Economics
ECON 597 – Practicum in Economics
ECON 598 – Directed Studies
MATH 405G – Numerical Analysis I
MATH 406G – Numerical Analysis II
MATH 431G – Intermediate Analysis I
MATH 470G – Introduction to Operations Research
MATH 482G – Probability and Statistics-II
MATH 529 – Applied Probability
MATH 531 – Advanced Differential Equations
MATH 532 – Real Analysis
MATH 540 – Stochastic Processes
MATH 541 – Graph Theory
MATH 542 – Advanced Topics in Discrete Mathematics
MATH 570 – Topics in Operations Research
MATH 590 – Special Topics in Mathematics
MATH 598 – Graduate Seminar: Communicating Mathematics and Technical Writing
STAT 549 – Statistical Methods I
STAT 550 – Statistical Methods II

Applied Project  or Thesis (3-6 hours)

ECON 596 – Applied Economics Project (3-6 hours)




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 Last Modified 10/30/18