NUS to Launch Bachelor’s Programme in Geospatial Intelligence from 2026

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The National University of Singapore (NUS) will introduce a new undergraduate major in geospatial intelligence designed to integrate geospatial data analysis with artificial intelligence and advanced computing. Offered from Academic Year 2026/2027, the four-year programme aims to prepare graduates to support evidence-based decision-making across public policy, urban development, climate risk and business planning. The initiative reflects growing demand for professionals who can translate complex spatial data into practical insights for governments and organisations.

Integrating geospatial analysis with artificial intelligence

The new Bachelor of Science (Honours) in Geospatial Intelligence Cross-Disciplinary Programme (GIX) will be offered by the College of Humanities and Sciences, led by the Department of Geography in collaboration with the School of Computing. The curriculum combines Geographic Information Systems (GIS), geospatial data science and AI-driven computational methods, enabling students to analyse, model and simulate real-world environments such as cities, transport networks, ecosystems and social spaces.

Geospatial intelligence has evolved beyond traditional mapping to support prediction, assessment and scenario testing. Advances in satellite imagery, sensor networks and large-scale data collection, alongside improvements in computing power, have expanded its role in policy formulation and operational planning. These developments are increasing demand for graduates with both spatial reasoning and advanced analytical skills.

Alignment with Singapore’s geospatial and digital priorities

In Singapore, the use of geospatial information is a recognised enabler of effective governance and economic development. The Singapore Geospatial Masterplan 2024–2033 sets out a national ambition to become a leading global geospatial hub, with a focus on strengthening core capabilities and widening adoption across sectors. The new NUS programme is positioned to support these objectives by building a domestic talent pipeline in geospatial intelligence.

Applications of geospatial intelligence extend beyond urban planning and transport to include disaster preparedness, climate resilience, supply chain management and business optimisation. As AI enhances the analysis of large and complex spatial datasets, professionals who can integrate domain knowledge with advanced analytics are increasingly sought after in both the public and private sectors.

Programme leadership and interdisciplinary design

“The introduction of this new degree programme is timely as demand for and interest in AI-powered jobs soar,” — Feng Chen-Chieh, Associate Professor and GIX Programme Director, National University of Singapore

According to Associate Professor Feng, the programme is designed to give students a strong foundation in geographic thinking, computational skills and AI, preparing them for roles in areas such as smart urban systems, logistics, climate risk management and real estate analytics.

“The programme complements NUS’ existing offerings for students who want to combine data, computing and domain knowledge to solve complex interdisciplinary problems,” — Kan Min-Yen, Associate Professor and Vice Dean (Undergraduate Studies), School of Computing, National University of Singapore

Student interest and sector relevance

The GIX programme will be open to students matriculating from August 2026. A preview session held during the NUS 2026 Open House attracted close to 100 prospective students and parents, highlighting growing interest in careers linked to AI-enabled spatial analysis and real-world problem solving.

The programme builds on broader trends in higher education, where universities are adapting curricula to reflect the convergence of AI, data science and domain expertise. Similar developments are discussed in coverage of undergraduate geospatial intelligence education at NUS and wider efforts across the region as ASEAN universities adapt to the AI-driven era.

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