This course provides cutting edge tools, methodologies and frameworks for assessing program effectiveness and measuring long term impact. The course combines theoretical foundations with practical applications, enabling participants to design robust monitoring systems, apply advanced evaluation techniques and translate evidence into actionable insights that drive strategic decision making. Through case studies, experimental exercises and actual
scenarios, participants will develop the capacity to critically analyze data, ensure accountability and optimize program performance in complex development and organizational contexts.

Who Should Attend?

This course is ideal for mid to senior level professionals, project and program managers, M&E specialists, policymakers, researchers and consultants who are involved in planning, implementing, monitoring, or evaluating projects and programs across sectors such as development, health, education, environment and humanitarian interventions. It is also relevant for those seeking to strengthen their expertise in evidence base decision making and impact measurement.

Course Outcomes

Delegates will gain the skills and knowledge to:

• Develop advanced skills in designing and implementing monitoring and evaluation frameworks.
• Apply qualitative and quantitative methods to assess program performance and impact.
• Interpret and use evaluation findings to inform policy, strategy, and resource allocation.
• Strengthen accountability, transparency, and learning within projects and organizations.
• Build the capacity to manage complex evaluations and communicate results effectively to stakeholders.
• Integrate emerging technologies and data visualization tools to enhance data collection, analysis, and reporting.

Key Course Highlights

At the end of the course, you will understand...

• Application of advanced quantitative and qualitative monitoring techniques including real-time data collection.
• In-depth study of impact evaluation methodologies such as randomized control trials and quasi-experimental designs.
• Use of statistical tools for data analysis and interpretation to assess program effectiveness and outcomes.
• Development of robust evaluation frameworks including Theory of Change and logical frameworks.
• Strategies for integrating evaluation findings into organizational learning and decision-making processes.
• Addressing challenges in impact assessment like attribution, selection bias, and counterfactual analysis for credible results.

Course Booking

Please use the “book now” or “inquire” buttons on this page to either book your space or make further enquiries.