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Urban Analytics and Visualisation MSc

Urban Analytics and Visualisation MSc

Different course options

Full time | University of Warwick | 1 year | SEP

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Urban Studies Data Analysis

Course type


Course Summary

Warwick's CIM explores how our wired-up cities can be analysed to offer meaningful solutions to real world problems. Urban Analytics and Visualisation MSc advances your understanding of smart cities, analysis of city-scale data and the emerging solutions posed by interdisciplinary methodologies.

Course Overview

For the first time in history, more than half of the world’s population lives in urban areas. At the same time, cities and urbanised regions in general are increasingly linked and influenced by “smart” technologies. Urban Analytics and Visualisation is an emerging interdisciplinary approach to addressing the urban challenges arising from these developments. Our unique MSc develops both the practical and theoretical skills needed – such as data analytics, urban theory, and visualisation techniques – to tackle these challenges, combining practice with cutting-edge theoretical and methodological understanding of urban systems.

Our course offers you:

  • Deep understanding of the nexus between urban life and digital technology
  • Thorough knowledge of interdisciplinary urban analytical methods
  • Practical and analytical skills to explore, visualise, and make sense of city-scale spatial data
  • Interdisciplinary methodological skills to design solutions to the world’s urban challenges
  • Capitalising on emerging developments in big data analytics and digital technologies


Online virtual learning environment; student group and project work; lectures; seminars; reading and directed critical discussion; independent research by students; practice-based activities to learn from each other and have a productive exchange of ideas.

Skills from this degree

  • Software skills: R including geospatial R packages; GeoDa (a spatial visual analytics tool); QGIS (an open-source geographical information system); (possibly more, depending on optional modules chosen)
  • Communication of scientific results to different audiences (including the general public)
  • Interdisciplinary discussion and collaboration skills
  • Application of urban theories to real-world problems
  • Critical reflection about data, information, tools/methods
  • Project management and team working skills (managing extensive group work projects)


Graduates from these courses have gone on to work for employers including: AXA, BaiDu, GroupM, Just Eat, Skyscanner, The Labour Party and University of Warwick. They have pursued roles such as: authors, writers and translators; business and financial project management professionals; buyers and procurement officers; data analysts and product managers; marketing associate professionals; quality assurance and regulatory professionals and researchers.

Our department has a dedicated professionally qualified Senior Careers Consultant offering impartial advice and guidance together with workshops and events throughout the year. Previous examples of workshops and events include:

  • Warwick careers fairs throughout the year
  • Careers in AI and Data Science
  • Discovering Careers in the Creative Industries
  • Discuss What’s Next After Your CIM Master’s Degree


Urban science is a rapidly growing field that investigates the way people interact within and are influenced by urban systems. It is dedicated to harnessing the wealth of social information available in our modern information society. In this way, urban science uses large amounts of heterogeneous data to better understand cities and other types of complex urban systems, as well as the integration of new technologies with them. The aim of this module is to present the theoretical and practical methodological and substantive foundations of urban science. This is achieved by combining three interconnected components: (1) the substantive foundations of urban science, with an emphasis on urban geography; (2) a methodological approach to urban space, focusing on theory and methods of spatial analysis; and (3) practice in urban science, carried out in the form of a student-led group project to solve an urban challenge using real scenarios and data. The module is open to students of all disciplines, no specific prior knowledge is required.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Students need to have 2:i undergraduate degree.