In addition to the course requirements for levels I and II, Researcher should complete the advanced survey and data management, quantitative analysis, qualitative data analysis, and robust evaluation designs:
Graduate profile
In combination of the quantitative analysis skills, the graduate of the ER Training will be able to organize and conduct project, policy or program impact evaluation or other forms of evaluation such as performance evaluation, and inefficiency analysis. specifically, the candidate will have the following:
- Proven knowledge and skills from M&E Levels I & II (as defined in this document);
- Hands-on skills on sample weighting and finite population correction, and analyzing survey data;
- Practical knowledge of data mining strategies to represent big data in reduced dimensions that will help create indices or key performance indicators for program analysis
- Ability to use R for GIS and skills for spatial analysis as an exploratory process focusing on the statistical analysis of spatial patterns and underlying processes to confirm or not whether the outcomes are associated with intervention locations;
- Advanced knowledge of qualitative analysis with the use of qualitative software such as ATLAS or Nvivo.
- Specialization in Impact Evaluation, Performance analysis, or efficiency analysis
- Hands-on experience through an internship project
Entry requirement
The prospective trainee/student should fulfil the following requirements:
- Being an ultimate candidate or having a master’s degree or higher in domains involving extensive quantitative research methods such as applied mathematics, statistics, economics, public health, clinical psychology, social sciences, etc.
- familiar with at least one data processing package such as Stata, R, etc.
- confidence in economics, statistics, mathematics, development or social sciences
- proven knowledge of M&E Professional Levels I and II.
List of courses, types and pre-requisites
