Data, Economics, and Development Policy MicroMasters
The MicroMasters credential in Data, Economics, and Development Policy equips learners with the practical skills and theoretical knowledge to tackle some of the most pressing challenges facing developing countries and the world’s poor. Through a series of five online courses and in-person exams learners will gain a strong foundation in microeconomics, development economics, probability and statistics, and engage with cutting-edge research in the field. The program is unique in its focus on the practicalities of running randomized evaluations to assess the effectiveness of social programs and its emphasis on hands-on skills in data analysis.
The program is co-designed and run by MIT’s Department of Economics and the Abdul Latif Jameel Poverty Action Lab (J-PAL), a global leader in conducting randomized evaluations to test and improve the effectiveness of programs aimed at reducing poverty. It is intended for learners who are interested in building a full set of tools and skills required for data analysis in the social sciences, understanding the problems facing world’s poor, and learning how to design and evaluate social policies that strive to solve them.
Learners who successfully complete the five MicroMasters courses and their corresponding in-person exams will be eligible to apply to MIT’s new blended Master program in Data, Economics, and Development Policy. If accepted, students will earn MIT credit for the MicroMasters courses, and will be able to pursue an accelerated on-campus Master’s degree at MIT.
How the DEDP MicroMasters works
Take five online courses on edX.
Pass a proctored exam for each course at testing facilities around the world.
Earn a MicroMasters credential from MITx!
On completion, you may apply to the Master’s program at MIT!
The cost of courses in this program varies depending on your ability to pay. You can start by auditing classes for free and upgrade at a later point. Learn more about course pricing.
Who should enroll?
- Policymakers and practitioners from governments, NGOs, international aid agencies, foundations, and other entities in the development sector
- Academics and evaluators looking to re-tool and apply data-driven perspectives to social and development programs
- Students interested in pursuing admissions to graduate programs in development economics, public policy, political science, or related fields
- Social entrepreneurs, managers and researchers in the development sector
What you will learn
- To identify and analyze the root causes of underdevelopment using principles of economics
- To interpret the findings of empirical research that evaluates the effectiveness of anti-poverty strategies, policies, and interventions
- Practical knowledge on how to design and implement rigorous randomized evaluations and other econometric methods of evaluating policies and programs
- Tools of comparative cost-effectiveness analysis for informed policy-making
- Fundamentals of microeconomics, development economics, probability, and statistics
- Hands-on skills in data analysis using the R programming language