Understanding and Development
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Doctor of Research & Learning
(D.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
★ Strategic leadership of project intelligence systems, shaping data standards, and advisory roles
Research Strand
Producing original research, transforming how organisations manage projects across sectors
Specialisation Context
A - Policy
Setting national M&E and data standards; advising governments on data-driven delivery models
B - Business
Thought leadership in corporate project intelligence; authoring sector standards and frameworks
C — Livelihoods
Driving systemic improvement in livelihoods programme management at a continental scale
Technical Learning Topics - by Specialisation
- Strategic M&E research leadership for government programmes
- Advanced causal evaluation for public sector attribution
- Impact aggregation across national programme portfolios
- National M&E standards-setting and government policy influence
- Research publication for national and international policy audiences
- Continental-scale government intelligence system design
- AI-assisted evaluation frameworks for public sector programmes
- Long-term impact assessment for national development strategies
- Organisational learning systems for government ministries
- Leading national sector transformation through M&E evidence
Assessment Tasks
Produce a D.RL research contribution on data-driven project management with sector-wide impact
Software & Tools
Planview, Clarity PPM, Python/R, NVivo/MAXQDA, Zenodo, GitHub, ORCID, Quarto
AI Applications
Shaping AI standards for programme management; authoring AI-assisted evaluation frameworks