Urban Informatics MSc 12 months Postgraduate Programme By King's College London |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

37,800 GBPTuition Fee/year

Main Subject Area

Urban PlanningMain Subject Area

Programme overview

Main Subject

Urban Planning

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Urban informatics is the study of how rich behavioural data from cities and their citizens can be collected, analysed, understood, and communicated through computation. Urban Informatics seeks 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 you 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.

Your degree offers a range of knowledge, attributes, skills and experiences that are valuable for your future.

Key benefits
  • 6th in the UK for Computer Science (QS World Rankings 2025)
  • Based in the Department of Informatics and associated with the Centre for Urban Science and Progress London (CUSP London), which has connections to New York University and the University of Warwick.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.
  • You'll interact with world-class experts in many exciting areas of Computer Science, including Algorithms and Data Analysis, Cybersecurity, Human-Centred Computing and Software Systems.
  • You'll study a wide-range of innovative modules, covering both the theory and practice of modern Computer Science.
  • Friendly and supportive learning environment, with students from across the globe.
  • Based in the Faculty of Natural, Mathematical and Engineering Sciences, with links to both Health and Social Science and Public Policy and world-leading teaching and research.

Programme overview

Main Subject

Urban Planning

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Urban informatics is the study of how rich behavioural data from cities and their citizens can be collected, analysed, understood, and communicated through computation. Urban Informatics seeks 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 you 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.

Your degree offers a range of knowledge, attributes, skills and experiences that are valuable for your future.

Key benefits
  • 6th in the UK for Computer Science (QS World Rankings 2025)
  • Based in the Department of Informatics and associated with the Centre for Urban Science and Progress London (CUSP London), which has connections to New York University and the University of Warwick.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.
  • You'll interact with world-class experts in many exciting areas of Computer Science, including Algorithms and Data Analysis, Cybersecurity, Human-Centred Computing and Software Systems.
  • You'll study a wide-range of innovative modules, covering both the theory and practice of modern Computer Science.
  • Friendly and supportive learning environment, with students from across the globe.
  • Based in the Faculty of Natural, Mathematical and Engineering Sciences, with links to both Health and Social Science and Public Policy and world-leading teaching and research.

Admission Requirements

185+
3.3+
7+
100+
69+
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.

1 Year
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Domestic
16,950 GBP
International
37,800 GBP

Scholarships

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