Singapore
National University Singapore
Master of Science in Applied Geographic Information Systems
The programme offers two tracks of training (Thesis Track and Project Track). The Thesis Track includes a research thesis component, which covers thesis preparation (GE5225) and the GIS research thesis itself (GE6225). It aims to attract students with interests in applied GIS research and developing their research skills. The Project Track includes a GIS project component (GE6226). It aims to attract students who require practical GIS skills or an upgrade to their existing GIS expertise to progress their careers.
Professional Certificate (PC) in Applied Geographic Information Systems (GIS)
Developed in partnership with the Singapore Land Authority (SLA) , a key driver in adopting geospatial data, services, and technologies in the Singapore government’s Smart Nation initiative, this course is taught by distinguished faculty members from the NUS Department of Geography, ranked 6th globally and 1st in Asia in the 2024 QS World University Rankings by Subject.
The course curriculum is industry-focused, built around a geospatial technology framework that provides learners with essential competencies for various geospatial job roles.
Singapore Institute of Management
Bachelor of Science (Geographic Information Science)
The Bachelor of Science (Geographic Information Science) degree provides students with cutting-edge knowledge, skills, and abilities in using geospatial sciences, and this includes geographical information systems (GIS), remote sensing, locational analysis, and geographic visualization.
Awarded and developed by: University at Buffalo, The State University of New York, US.
Singapore Management University
Geospatial Analytics & Applications
This course provides students with an introduction to the concepts, principles and methods of geospatial analytics and their practical applications of geospatial analytics in real world operations. Fundamental and advanced topics covered include (but not limited to) spatial data models, data quality, cartographic principles, spatial analysis, network analysis, accessibility studies, land use classification and change detection, remote sensing image processing.