
(Dip. RL) - Data Science
Government • National Statistics • Multilateral
Private Sector • Finance • Consulting
NGOs • Development • Food Security
Develops the ability to design, implement, and manage information systems that support effective project planning, monitoring, and decision-making.
★ Designing and operating Project Information Systems (PIS) — integrating people, processes, data, and technology to support the full project lifecycle at the Descriptive Analytics level
Designing PIS that generates reliable, descriptive project intelligence to support evidence-based planning and reporting.
PIS design for government programme delivery: work plans, scheduling, SDG tracking, and ministerial reporting.
PIS design for commercial projects: budget tracking, milestone management, client reporting, and performance dashboards.
PIS design for development field programmes: beneficiary tracking, field data collection, and donor reporting systems

Design a Project Information System for a real project environment, demonstrating planning, monitoring, data management, and decision-support functions with a sector-appropriate governance framework.
Microsoft Project, Smartsheet, Asana, DHIS2, KoboToolbox, Power BI, Trello, Notion, Google Workspace
AI-assisted project scheduling and risk flagging; LLM-powered reporting and stakeholder communication tools.