COURSE CURRICULUM

The modules in this program provide a comprehensive foundation in both data science and geospatial analysis, equipping you with the skills to work effectively with spatial data and complex datasets. Fundamentals of GIS introduces key geographic information system concepts, tools and mapping techniques essential for analysing spatial relationships. Overview of Data Science Practice and Fundamentals of Data Science together build your understanding of data workflows, computational methods and the practical skills needed for handling, processing and interpreting data. Statistics for Data Science strengthens your ability to apply statistical reasoning and quantitative techniques to real-world problems. Geospatial Artificial Intelligence explores how machine learning and AI can be applied to spatial datasets, enabling advanced modelling and prediction. Modelling Data focuses on constructing analytical models that support decision-making across different contexts, while Information Visualisation teaches you how to communicate insights clearly through effective visual representations. Creative Problem Solving encourages innovative thinking by helping you apply analytical, strategic and design-oriented approaches to complex geospatial and data-driven challenges. Collectively, these modules prepare you to work confidently in data science roles requiring strong technical capability, critical thinking and the ability to interpret and present spatial patterns and trends.