Mathematics for Spatial Data Science

Course Overview

Mathematics for Spatial Data Science is a module that seeks to equip the learner with the necessary foundational skills for spatial data analysis. The module uses mathematics, statistics and their application in data science to bring to life the major spatial intelligence concepts. It examines theory and practice from disparate academic disciplines such as geography, mathematics, physics, and general social science. This approach allows students to grapple with biodiversity, crime, natural hazards, climate, energy, water, and other relevant real-world issues of the twenty-first century using modern data-driven decision-making.

Learning objectives

After completing this module, you will be able to demonstrate the theoretical knowledge of:

  • Basic concepts of mathematics and statistics
  • Application of mathematics and statistics in spatial data science
  • Methods of spatial data science
  • Understand end-to-end data science projects and what techniques to utilize.