Offered at: San Luis Obispo Campus
https://gradbusiness.calpoly.edu/ms-economics/
Our 10-month, in-person MS in Quantitative Economics delivers structured thinking about empirical problems and incentives. The program integrates econometrics, machine learning for prediction and causal inference, experimentation, and the hands-on analysis of real-world data, all guided by economic theory. Our program is ideal for those looking to acquire advanced skills for successful careers in the private and public sector, or to ramp up quantitative skills for Ph.D. programs.
Requirements for Admission
Students apply via Cal State Apply and must submit a transcript, resume, and two letters of recommendation.
International Students must meet all the standard eligibility criteria and demonstrate proficiency in English (English Proficiency Exam Requirements)
Prerequisites: Applicants must have completed at least two college-level courses in calculus and two college-level courses in statistics. One of the calculus course requirements can be fulfilled by a mathematical economics course, and one of the statistics course requirements can be fulfilled by a course in econometrics or probability. Applicants may be granted admission to the program conditional on completing any coursework that may be missing.
Minimum GPA: 2.5.
Application due date: Fall enrollment only. Please see Graduate Student Dates and Deadlines for application deadlines.
Advancement to Candidacy
Completion of at least 6 units of graduate coursework with cumulative and higher ed GPA of 2.5 or higher.
Culminating Experience
Comprehensive exam: The comprehensive exam covers topics from six graduate courses:
- ECON 5015 Computing and Machine Learning for Economics
- ECON 5021 Advanced Econometrics I
- ECON 5022 Advanced Econometrics II
- ECON 5023 Microeconometrics
- ECON 5030 Microeconomic Analysis
- ECON 5040 Dynamic Stochastic Modeling
The professors who taught these courses will evaluate the corresponding section of the comprehensive examination.