To be a competitive applicant at a top ranked PhD program in Economics you should
acquire a strong quantitative background. The following are some recommended courses:
Non-negotiable
- Calculus 1-3 (MATH 2554, 2564, 2574)
- Linear Algebra (MATH 3083)
- Statistics or Probability or Econometrics (ECON 4743 and/or ECON 4753)
Needed for Higher-ranked Programs
- Introductory Analysis (MATH 3513 Elementary Analysis)
- Probability Theory (STAT 3013 or, preferably 5103)
- Differential Equations (MATH 2584)
Bonus
- Advanced Calculus (MATH 4513)
- Statistical Methods (STAT 4003)
- Machine Learning Applications and Python/R tools (ECON 4753)
- Graduate Microeconomics (ECON 6213)
- Programming Foundations, Computer Science (CSCE 2004)
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