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Recent years have witnessed an explosion in the urbanisation of our society, with vast metropolitan areas growing across the world. The surge in the availability of large data sets documenting several aspects of our cities, as well as methodological and computational advances in the areas of statistical modelling, machine learning and complex networks, have opened up the opportunity of quantitatively studying urban environments. This module will provide you with a broad overview of the history of city science and the core principles of urban analytics, including what data sources are available and a practical understanding of how to visualise urban data. Key challenges in the study of urban environments will also be considered and discussed from the perspective of the data needed to address them.

_{Please note that all modules are subject to change, please get in touch if you have any questions about this module.}