Understanding and Development
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Diploma in Research & Learning
(Dip. RL) - Data Science
Specialisations
Government • National Statistics • Multilateral
Private Sector • Finance • Consulting
NGOs • Development • Food Security
Project Data Management Systems
Develops the ability to design, implement, and lead data management systems within project and programme environments.
Course Focus
★ Advanced M&E design, predictive decision-making, governance, data ethics, and stakeholder reporting.
Research Strand
Designing research-grade M&E frameworks with learning loops and knowledge transfer.
Specialisation Context
A - Policy
Research-grade policy M&E: contribution analysis, theory of change testing, SDG alignment.
B - Business
Advanced corporate programme governance: risk-adjusted performance models, ESG reporting.
C - Livelihoods
Multi-site livelihoods M&E: outcome harvesting, most significant change, impact pathways.
Technical Learning Topics - by Specialisation
- Results-Based Management for government programmes
- Logical frameworks and results chains for policy delivery
- Theory of change design for public sector interventions
- SMART indicators aligned to SDG and national targets
- Government data collection and administrative reporting tools
- Data quality assurance in national statistical systems
- Stakeholder reporting to ministries and oversight bodies
- Contribution analysis for policy attribution
- Data governance and ethics in public sector contexts
- Knowledge management for policy learning cycles
Assessment Tasks
Design a research-informed M&E framework for a multi-phase project with a knowledge transfer plan
Software & Tools
DevResults, DHIS2, Salesforce (programme mgmt), Power BI, SPSS, MAXQDA, R, Smartsheet
AI Applications
AI-driven adaptive management tools; predictive M&E dashboards using ML forecasting.