This module explores the evolving landscape of urban data analytics, focusing on challenges such as data collection, mining, time-space dynamics, and standardization. Learners will understand how big data and smart city technologies are reshaping urban planning and decision-making processes.

This module explores the challenges and opportunities of using big data in urban planning, focusing on data uncertainty, scalable analysis methods, and the development of effective urban indicators. Learners will gain insight into how data can be used to support sustainable urban development and decision-making.

This module explores the role of crowdsourced geographic information in urban planning and management, focusing on its application in Indonesia. It covers quality standards, community engagement, and real-world case studies to highlight how open data can enhance decision-making and sustainability efforts.

This module explores the design and narrative techniques used in urban data visualisation, focusing on how to create engaging tools that communicate complex information to non-expert audiences. Learners will examine different levels of user interaction, such as exploratory, narrative, and analytics approaches, and analyze real-world examples to understand their impact.

This module explores the use of city dashboards and 3D geospatial technologies in urban planning and management. Learners will understand how data-driven tools enhance decision-making and public engagement. The content also covers the transition from 2D to 3D visualization for improved urban planning strategies.

This module explores urban climate challenges using frameworks like WUDAPT and LCZ, focusing on understanding urban form, climate impacts, and sustainable planning strategies. Learners will gain insights into data collection, analysis, and the role of urban planning in addressing climate change.

This module explores the impact of high-speed rail (HSR) development on regional accessibility and urban growth. It covers research methods, case studies, and analytical approaches to assess how HSR network expansion affects different cities. Learners will gain insights into evaluating the spatial and economic consequences of transportation infrastructure.

This module explores methods for studying intergroup relations in urban China, with a focus on using surveys to analyze migrant and local resident interactions. It covers research design, data collection, and statistical analysis in data-sparse environments. Learners will gain insights into urban social dynamics and empirical research approaches.

This module explores the challenges of using data in urban planning, focusing on digital divides, governance issues, and the importance of knowledge know-how for effective data utilization. Learners will gain insights into how data systems can support or hinder planning efforts, especially in times of crisis.