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A.I. and Urban Analytics

Develop students’ understanding of the use and potential of Artificial Intelligence and Internet of Things (IoT) in the design and management of cities in order to improve living conditions for citizens and businesses by making cities more competitive and more environmentally sustainable.

40H study hours


By engaging in practical activities and examining real-world examples, students will acquire the skills to manipulate, visualize, and analyze spatial data tailored to urban environments. The module encompasses essential principles, including data preprocessing, spatial statistics, and advanced analysis utilizing geo-AI techniques.

Introduction to Urban Analytics and Artificial Intelligence: This section serves as the foundation, offering an introduction to the core concepts of Urban Analytics and Artificial Intelligence, setting the stage for deeper exploration.

Acquiring Spatial Data Analysis Techniques: Students gain practical skills in spatial data analysis, using programming languages like Python and R. These tools are essential for leveraging data in urban contexts and extracting meaningful insights.

Artificial Intelligence and the Smart City: A critical part of the module is dedicated to understanding how Artificial Intelligence integrates with the concept of the smart city. It highlights how AI technologies can be deployed to address urban challenges effectively.

Workshops on AI Applications: The module includes hands-on workshops that focus on the practical application of AI in real-world urban scenarios.


Upon completing this module, students will:

Develop a comprehensive understanding of the role of Urban Analytics and Artificial Intelligence in the urban context, appreciating their significance for smart cities.

Acquire practical skills in spatial data analysis using programming languages like Python and R, enabling computing urban data effectively.

Gain insights into how Artificial Intelligence contributes to the development of smart cities and addresses the complex challenges that arise in rapidly urbanizing environments.

Apply knowledge through hands-on workshops engaging with AI applications in real urban scenarios.