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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
Project Information Systems
Develops the ability to lead, architect, and evaluate advanced Project Information Systems that generate predictive intelligence across the project lifecycle
Course Focus
★ Architecting and leading Project Information Systems (PIS) that integrate predictive analytics, adaptive management, and multi-stakeholder data environments
Research Strand
Leading applied PIS research, designing systems that generate predictive project intelligence and support evidence-based adaptive management
Specialisation Context
A - Policy
Advanced PIS architecture for government and multilateral programmes: predictive planning, national data systems, and cross-ministry coordination
B - Business
Enterprise PIS leadership: portfolio-level information systems, predictive performance analytics, and corporate governance integration
C - Livelihoods
Advanced PIS architecture for development programmes: predictive vulnerability tracking, multi-donor data environments, and impact forecasting.
Technical Learning Topics - by Specialisation
- PIS architecture strategy for government and multilateral programme environments
- Predictive planning systems — forecasting resource needs and scheduling risks in public sector
- Advanced monitoring & tracking — predictive KPI dashboards and early-warning systems for government
- Multi-ministry communication and collaboration system design
- Advanced data management in government PIS — data lakes, ETL pipelines, and statistical integration
- Predictive decision-support dashboards for ministerial and senior leadership audiences
- Distributed database systems and data warehousing for national PIS
- Advanced security, access control, and data sovereignty in government PIS
- Integrating PIS with national M&E architectures and SDG reporting frameworks
- Research design for predictive PIS evaluation in public sector contexts
Assessment Tasks
Architect a predictive Project Information System for a complex programme environment, demonstrating advanced data management, predictive decision-support, and governance documentation at M.RL research standard.
Software & Tools
Primavera P6, MS Project Online, Jira Advanced, Power BI, Python (predictive modules), Tableau, DHIS2 (advanced), Apache Airflow
AI Applications
ML-powered project risk prediction and adaptive scheduling; AI-assisted PIS architecture recommendations