Full time September MSc Full-time: One year
Architecture, Building & Planning (3) Computer Science (8)

FindAMasters summary

The Urban Informatics MSc at King's College London is a cutting-edge programme that explores how data from cities and their residents can be collected, analysed, and used to improve urban living. This unique degree combines technical and social aspects, providing students with the skills needed to conduct effective urban data analysis and communicate results for positive change. With modules covering spatial data analysis, computer programming, statistics, and more, you'll gain a well-rounded education. The programme also offers optional modules in areas like urban mental health and tourism. Entry requirements include an Upper Second Class degree in Computer Science or related fields, or relevant work experience. Join us to become a leader in urban data analysis and make a difference in your city.

About the course

Urban informatics is the study of how rich behavioural data from cities and their citizens can be collected, analysed, understood, and communicated through computation. We seek to inform improvements that can increase the wellbeing of city residents, whether by government organisations or industries involved in providing services in cities. Our Urban Informatics MSc equips students with the technical, analytical, and communication skills required to conduct effective urban data analysis, with experience of detailed case study topics and the communication of results to effect change.

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Entry Requirements

An Upper Second Class degree in Computer Science (or related disciplines). An Upper Second in a quantitative subject containing a substantial statistical component will be also be considered, or Geography where this includes a geocomputation component.

A Lower Second class degree, or degree in a different quantitative discipline (e.g. Pure Maths, Physics, Mathematical Economics, Mathematical Psychology) may be permitted if the candidate has subsequent work experience in large-scale data analysis of at least 2 years duration.


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