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M&E · Intermediate Level · 🇷🇼 Rwanda

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 Rwanda's development professionals covering log frames, data collection, impact evaluation and MINECOFIN-aligned reporting.

Certification Objectives

  • Design robust M&E frameworks and Theory of Change
  • Develop SMART indicators aligned to NST1 and IMIHIGO
  • Build digital 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 East African M&E practitioners
  • KoboToolbox and ODK practical exercises
  • Rwanda-specific indicator development assignments
  • Sample evaluation report project
  • CMES Certificate issued
Program Details
Delivery100% Online
Duration10–12 Weeks
LevelIntermediate
FeeUSD 390
CertificateDigital + Physical

Who Should Take This Certification

  • M&E Officers and Managers in Rwanda
  • NGO and Development Professionals
  • Rwanda Government Officers (MINECOFIN/MINALOC)
  • Research and Learning Staff
  • UNDP/UNICEF/World Bank Project Staff
  • Donor Programme Managers
Course Curriculum

10-Module Online Curriculum

1
M&E Concepts
  • M&E in Rwanda's development context
  • Results chain
  • Theory of Change
  • M&E plan components
  • IMIHIGO and NST1 alignment
2
Log Frame Design
  • Log frame overview and purpose
  • Problem analysis
  • Objectives hierarchy
  • Assumptions and risks
  • Log frame quality checklist
3
Indicator Development
  • Types of indicators
  • SMART criteria
  • Disaggregation: gender, location
  • Baseline data for Rwanda
  • 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
6
Qualitative Analysis
  • Thematic analysis
  • Coding qualitative data
  • Case study writing
  • Triangulation methods
  • Bias in 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
  • Presenting evaluation findings
9
Donor Reporting
  • Donor report structure
  • Results-based reporting
  • Impact storytelling
  • Data visualisation for donors
  • Common reporting mistakes
10
Learning & Adaptive Management
  • Learning agenda
  • After Action Reviews
  • Knowledge management
  • Adaptive management cycle
  • Building learning cultures
Enrolment

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