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
Organisational Data Analytics
Develops the ability to analyse, visualise, and communicate data to drive decisions
Course Focus
★ PRESCRIPTIVE ANALYTICS MASTERY - Optimisation, thought leadership, and sector transformation
Research Strand
Generating and publishing original analytical knowledge that shapes sector understanding
Specialisation Context
A - Policy
Prescriptive policy recommendations: resource allocation optimisation, intervention prioritisation
B - Business
Prescriptive business strategy: supply chain optimisation, pricing strategy, market expansion modelling
C — Livelihoods
Optimising livelihood-intervention targeting; designing AI-assisted early-warning and response systems
Technical Learning Topics - by Specialisation
- Prescriptive analytics for public resource allocation optimisation
- Reinforcement learning for adaptive policy delivery
- Operations research for government programme prioritisation
- Simulation modelling for national policy scenario analysis
- Causal inference for rigorous policy impact evaluation
- Multi-criteria decision analysis for government planning
- Publishing policy research — peer review, Zenodo, and ORCID
- AI decision systems for public sector advisory
- Research leadership and dissemination in policy contexts
- Driving governance transformation through prescriptive analytics
Assessment Tasks
Produce a D.RL-level prescriptive analytics research contribution advancing evidence-based practice
Software & Tools
Python/R (full pipeline), Plotly Dash, Streamlit, Quarto, GitHub, Zenodo, ORCID, OR-Tools
AI Applications
Advanced AI decision systems; reinforcement learning for optimisation; AI ethics in prescriptive models