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Post Graduate Diploma in Monitoring and evaluation

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Online / Training
Jun 01, 2021 - Jun 01, 2022
USD  1,200.00


Monitoring and Evaluation is increasingly recognized as the cornerstone for effective program management and is critical for organizational sustainability. A continuously increasing need for suitably skilled monitoring and evaluation project managers has been identified as a priority area by various stakeholders active in different sectors and industries; e. g globally- funded sponsorships often require evidence of effective monitoring and evaluation systems prior to awarding funds.

Course Objectives

By the end of this course the participants should be able to:

  • Apply concepts, principles, processes and framework for monitoring and evaluation systems in development programmes;
  • Use result-based tools for programme planning;
  • Design and develop M & E systems;
  • Design and conduct an evaluation
  • Formulate result- and change-oriented indicators for monitoring and evaluation
  • Use M&E tools for qualitative and quantitative data analysis


Introduction to M&E Principles and Concepts

  • Understand M&E basic principles
  • Apply principles of results based management
  • Use practical considerations and key steps in developing M&E systems

Program Logic models and Theory of change

  • Describing and developing program Logic models
  • Theory of change
  • Application of logic models and TOC in developing sound M&E systems

Designing program monitoring systems

  • Deciding on key aspects of the program to monitor
  • Identifying data sources
  • Designing sound data collection and collation tools
  • Developing standard operating procedures (SOPs) for managing data

Program Databases

  • Types of Databases
  • Key considerations on designing and selecting a suitable database for a program
  • Common pitfalls in choice and use of databases

Managing data quality

  • Data quality principles and rationale
  • Assessing risks to data quality
  • Tools for managing data quality
  • Ethical considerations in dealing with data

Routine Data Quality Assessments

  • What are Routine data quality assessments (RDQAs)
  • Tools and processes for conducting RDQAs
  • Communicating and using results of RDQAs

Designing evaluations for field-based programs

  • An appropriate evaluation design
  • Evaluation principles and approaches for field-based programs
  • Identifying evaluation questions and developing a learning agenda
  • Selecting Collecting evaluation data

Analyzing and reporting data for decision making

  • Developing a data analysis strategy
  • Selecting data analysis methods
  • Presenting analyzed data
  • Common pitfalls/errors in analyzing data

Planning and managing evaluations

  • Assess readiness for evaluation
  • Budgeting for the evaluations
  • Identifying and selecting the evaluation team
  • Developing a comprehensive terms of reference (TOR)
  • Key considerations in managing consultants

Developing a data communication strategy for stakeholders

  • Identifying program stakeholders and their information needs
  • Selecting appropriate communication tools for different audiences


Jun 01, 2021 - Jun 01, 2022
No. of Days: 365
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