Photo Credit: Aimee Hare, J-PAL employee
Course Prerequisites and Course Previews:
The information below describes the prerequisites for each course. If you are unsure whether you meet the prerequisites, we invite you to take the course previews, which are meant to give prospective learners the opportunity to get a taste of the content and exercises that will be covered in each course. If you are new to these subjects, or eager to refresh your memory, each course preview also includes some available resources. These resources may also be useful to refer to over the course of the semester. You can also find additional resources in the Learner Resources.
A score of 60% or above in the course previews indicates that you are ready to take the course, while a score below 60% indicates that you should further review the concepts covered before beginning the course.
Core Courses
- Microeconomics (Intermediate): Knowledge of calculus is presumed.
- Designing and Running Randomized Evaluations (Intermediate): Some previous familiarity with basic statistical concepts will be helpful but not required. This course will also have some (limited) use of R/Stata.
- Data Analysis for Social Scientists (Advanced): Presumes familiarity with algebra and calculus. R will also be used extensively and an introductory module will be provided.
Elective Courses (choose two of four - at least one elective must be an advanced elective):
- Good Economics for Hard Times (Introductory): No prerequisites are required
- The Challenges of Global Poverty (Introductory): Some previous exposure to economics and familiarity with statistics will be helpful but not required.
- Foundations of Development Policy (Advanced): Presumes familiarity with calculus, a basic understanding of statistics and econometrics, and familiarity with introductory microeconomics. R will also be used extensively and an introductory module will be provided.
- Political Economy and Economic Development (Advanced): Presumes familiarity with calculus, a basic understanding of statistics, and familiarity with microeconomics. R will be used in the course and an introductory module will be provided.
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