Program Learning Objectives
Graduates are prepared to:
1. Exhibit sufficient knowledge of the main quantitative methods of economic analysis (both theoretical and empirical).
2. Are proficient at applying quantitative economics techniques in new and unfamiliar circumstances and will develop the ability to adapt and innovate to solve relevant economic problems.
3. Are able to effectively communicate the implications of their analyses to their relevant audience.
|GSE 510||Essential Mathematics for Economic Analysis||4|
|GSE 511||Microeconomic Analysis||4|
|GSE 512||Dynamic Stochastic Modeling||4|
|GSE 518||Essential Statistics for Econometrics||4|
|GSE 520||Advanced Econometrics I||4|
|GSE 522||Advanced Econometrics II||4|
|GSE 524||Computing and Machine Learning for Economics||4|
|Approved Electives (400-500 level) 1||13|
To be selected with advisor’s approval from economics or other courses in masters programs, such as: Master of Business Administration (GSB), Agribusiness (AGB), Master of City and Regional Planning (CRP), Engineering, Mathematics, Master of Public Policy. Maximum 12 units from 400 level courses. Maximum 12 units from courses other than GSE/ECON.