Understanding and Development
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Master of Research & Learning
(M.RL) - Data Science
Specialisations
Government • National Statistics • Multilateral
Private Sector • Finance • Consulting
NGOs • Development • Food Security
Organisational Database Design & Development
Equips learners to design, build, and manage databases that serve real organisational needs.
Course Focus
Data architecture strategy, distributed systems, polyglot persistence, and governance-aligned modelling.
Research Strand
Architecting data environments for applied research at scale with ethical data use controls.
Specialisation Context
A - Policy
Designing interoperable databases for cross-ministry data sharing and national statistics.
B - Business
Cloud-native database architecture for enterprise analytics and business intelligence platforms.
C — Livelihoods
Federated data systems for multi-partner development programmes and impact tracking.
Technical Learning Topics - by Specialisation
- National data architecture strategy and design patterns
- Distributed databases for cross-ministry data integration
- Polyglot persistence for mixed government data types
- National data lake and statistical warehouse architecture
- ETL/ELT pipelines for government data aggregation
- Governance-aligned data modelling for public sector
- Cloud database platforms for national information systems (AWS GovCloud, Azure)
- Database security and access control at national scale
- Metadata management for open government data catalogues
- Applied research data architecture for policy analysis
Assessment Tasks
Design a multi-system data architecture for an applied research programme with governance documentation.
Software & Tools
MongoDB, Cassandra, Redis, AWS RDS, Azure SQL, Collibra, dbt, Apache Airflow
AI Applications
AI-driven data architecture recommendations; intelligent data routing and pipeline automation.