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M&E · Intermediate Level

Certified Monitoring & Evaluation Specialist (CMES)

Online Certification · 10–12 Weeks · USD 390 · Globally Recognised

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Certification Overview

Certified Monitoring & Evaluation Specialist (CMES)

A rigorous online M&E certification for development professionals covering log frames, data collection, impact evaluation and donor reporting across Africa.

Certification Objectives

  • Design robust M&E frameworks and theory of change
  • Develop SMART indicators for programme monitoring
  • Build mobile data collection tools
  • Conduct qualitative and quantitative evaluations
  • Write compelling donor reports and evaluations
  • Use M&E data to improve programme performance

Training Methodology

  • Self-paced online lessons
  • Live virtual sessions with M&E practitioners
  • KoboToolbox and ODK practical exercises
  • Indicator development assignments
  • Sample evaluation report project
  • CMES Certificate issued
Program Details
Delivery100% Online
Duration10–12 Weeks
LevelIntermediate
CategoryM&E
FeeUSD 390
CertificateDigital + Physical

Who Should Take This Certification

  • M&E Officers and Managers
  • Programme and Project Staff
  • NGO and Development Professionals
  • Government Officers
  • Research and Learning Staff
  • Donor Programme Managers
Course Curriculum

10-Module Online Curriculum

1
M&E Concepts & Frameworks
  • M&E role in development
  • Results chain
  • Theory of Change
  • M&E plan components
  • Common M&E challenges
2
Logical Framework Design
  • Log frame overview
  • Problem analysis
  • Objectives hierarchy
  • Assumptions and risks in log frames
  • Log frame quality checklist
3
Indicator Development
  • Types of indicators
  • SMART criteria
  • Disaggregation
  • Baseline data
  • Indicator tracking tables
4
Data Collection Methods
  • Primary vs secondary data
  • Questionnaire design
  • FGD and interview guides
  • Sampling techniques
  • Field data protocols
5
Digital Data Collection
  • KoboToolbox setup
  • ODK and ODK Collect
  • Form design
  • Data submission and management
  • GPS and geolocation data
6
Qualitative Analysis
  • Thematic analysis
  • Coding data
  • Case study writing
  • Triangulation
  • Bias in qualitative research
7
Quantitative Analysis
  • Descriptive statistics
  • Excel for M&E analysis
  • Data visualisation
  • Statistical significance
  • Presenting findings
8
Programme Evaluation
  • Types of evaluation
  • Evaluation design
  • Sampling for evaluations
  • Most Significant Change
  • Evaluation TORs
9
Donor Reporting
  • Donor report structure
  • Results-based reporting
  • Impact stories
  • Data visualisation for donors
  • Common reporting mistakes
10
Learning & Adaptive Management
  • Learning agenda
  • After Action Reviews
  • Knowledge management
  • Adaptive management cycle
  • Building a learning culture
Enrolment

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