The study of cities necessarily spans many areas, sociological, cultural, technological, political, and so forth, and the areas of citizens’ lives that data analytics may help to improve are similarly broad, including health and wellbeing, transport, environment, crime, etc. CUSP London addresses this breadth by offering two complementary MSc programmes, each covering the fundamentals of urban informatics, but each with distinct emphases, making them suitable for applicants looking to develop different skills from their degree.

The programmes are:

MSc Urban Informatics – hosted at King’s College London

MSc Urban Analytics and Visualisation  – hosted at University of Warwick

COMMON ELEMENTS OF PROGRAMMES

Some elements offered are common across the two programmes:

  • Practical and analytical skills in urban data science to explore, visualise and make sense of city-scale spatial data
  • Local links with agency partners in large UK cities such as London and Birmingham for
  • Individual and group projects within which students can apply the skills they’ve learnt over the programme to a domain of interest
  • A London data dive including students from both programmes, plus those from CUSP in New York, tackling an urban problem using their data analytics skills in an exploratory way over a week
DISTINCT EMPHASES

Each programme has a distinct set of emphases in learning strategy and topics covered. This does not mean that one programme excludes the aspects emphasised by the other, just that there is a different focus, allowing applicants to make an informed choice between programmes.

KCL’s MSc Urban Informatics emphasises the following:

  • Ensures grounding in core data science skills, in preparation for acquiring the cities-specific expertise required to solve urban challenges
  • Case-study driven, with specialist topic modules core to the programme
  • Focus on communicating results of analysis with effect on policy
  • Access to specialist expertise and data on urban health and well-being

UoW’s MSc Urban Analytics and Visualisation emphasises the following:

  • Develops interdisciplinary methodological skills, to understand cities and for solving urban challenges
  • Focus on the application of data analytics and visualization methods for understanding the social, economic and cultural dimensions of cities
  • Provides a breadth of options allowing students to select the path best matching their particular interests
  • Access to specialist expertise and data on urban culture, resilience and spatial analysis