Non-profit and Public Administration
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 to solve them.
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 retool and apply data-driven perspectives to social and development programs.
- Social entrepreneurs, managers, and researchers in the development sector.
What You Can Study
- Students can gain expertise in the growing field of Data, Economics, Development Policy through a pathway from MITx MicroMasters involving an innovative online program consisting of five courses and a final capstone exam to Doane’s MBA program.
- The MicroMasters Program in Data, Economics, Development Policy from MITx is an advanced, professional, graduate-level foundation in Data, Economics, Development Policy. This MicroMasters Program will transfer in as 9 credits to fulfill the Nonprofit and Public Administration emphasis area for the MBA or Master of Arts in Management program at Doane University. Credit is only given for completing the entire MicroMasters credential – no credit is provided for finishing individual courses.
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 (R programming is a free environment for statistical computing and graphics).