GIS Spatial Analysis

Date: To Be Confirmed (2 days between 11 May to 18 May 2025)

Duration: 14 Hours

Mode Of Delivery: Face-to-Face

Course Fees: S$1,700 (Before GST and available funding, where applicable.)

*This course is part of the Professional Certificate (PC) in Applied Geographic Information Systems (GIS).

GIS Spatial Analysis 2

GIS stands for Geographic Information Systems. Using computer hardware and GIS software, we can display, query, analyse, and interpret geospatial data in visual ways, revealing patterns and relationships in the geographic world. GIS enables us to understand what has happened, what is happening, and what will happen in geographic space. Geospatial science has become increasingly important in developing solutions to global challenges such as sustainability, food security, healthcare management, and even rapid urbanisation, among others, particularly with advancements in technologies like satellite systems and GPS-enabled devices.

What You Will Learn

This short course covers the following components:

  1. Introduction to Basic Spatial Analysis methods and Spatial Statistics/Network Analysis/GeoAI Analysis
  2. Hands-on practicals of Spatial Analysis

Objectives

Students will gain knowledge of geospatial data analytics. They will gain skills for analysing location-based data such as point pattern analysis and road network analysis. This course will cover common data analytics knowledge and skills demanded by the geospatial industry. This course will prepare students for learning deeper GIS topics and performing advanced industry-relevant GIS (Geographic Information Systems) tasks such as advanced spatial big data analytics and decision-making.

Who Will Benefit

  • Executives and professionals without a GIS background in both the private and public sectors
  • People who aspire to pursue a geospatial career, such as Geospatial Executives, GIS Engineers, GIS Consultants, GIS Mapping Specialists, Geospatial Specialists, and Geospatial Policymakers

Entry Requirements

Diploma or degree holders of any discipline, with at least 1 year of working experience in the related sector preferred.

Course Fees and Applicable Funding

SSG Funding

* Learners must pass all assessment components to be eligible for SSG funding. Please note that all external funding for courses is limited in duration and subject to availability.

Speak to Us

Please contact us at li.bowen@nus.edu.sg if you have any questions about this programme.

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