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.
Candidates without First or Upper Second Class degree in Mathematical Statistics or Computer Science but having relevant post- graduate experience may be interviewed to assess their level of competency.
Months of entry
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.
- Draws from both natural and social science areas to provide a rounded degree that combines the technical and social aspects of urban informatics.
- Based in the unique Centre for Urban Science and Progress London (CUSP London), with connections to New York University and the University of Warwick.
- Located in central London, with opportunities to interact with government agencies and for grounded case studies using London as a lab to drive effective learning.
- Friendly and supportive learning environment, with students from across the globe.
- Based in the Faculty of Natural and Mathematical Sciences, with links to both Health and Social Science and Public Policy and world-leading teaching and research.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Postgraduate Admissions