For the first time in history, more than half of the world’s population lives in urban areas - towns and cities that are increasingly connected and influenced by “smart” technologies. Urban Informatics and Analytics is an emerging interdisciplinary approach to addressing the urban challenges arising from these developments.
Our unique MSc develops the practical skills needed - such as data analytics 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 urban science and digital cities
- 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
MSc Urban Informatics and Analytics is taught by the Centre for Interdisciplinary Methodologies and the Department of Computer Science.
Is this course for me?
Unlike most existing courses that focus exclusively on data practices and tools, our interdisciplinary course combines training in theoretical approaches to urban life with practice-based methodological skills. Across the course, you’ll develop an understanding of social theories and their application, learning to make informed decisions supported by urban data analytics.
Our students have come from disciplines including urban planning, computer science, sociology and politics, to name a few. Most importantly, our students share an ambition to learn how to apply urban data science to real-life urban environments.
We normally require a first or upper second class degree, and we welcome applications from mature students, professionals related to city management or planning, as well as those who have taken alternative routes to higher education. Students can also choose to study on a part-time basis.
-Francisco Contreras Marroquin, MSc Urban Informatics and Analytics
The MSc in Urban Informatics and Analytics equips you for future opportunities within business, government, NGOs and the third sector, where expertise in using analytics and data science to solve urban problems is increasingly essential.
The MSc can also be a springboard to a range of careers where you can apply your data analytics and visualisation skills, such as Data Journalism, Finance and Health Care, and Business Analytics. A number of our students have chosen to continue their academic studies through an MPhil/PhD in Urban Science, Interdisciplinary Studies and other relevant disciplines.
Applications now open!
If English is not your first language, you will need to demonstrate English language competence as part of your application. This typically involves submitting a form of certification, such as the IELTS. We normally require an overall IELTS score of 7.0 (or equivalent), with a minimum of two components at 6.0/6.5 & rest 7.0+ (Band B).
There may be the option to attend the Pre-Sessional English Programme prior to commencement of study. See the Pre-Sessional English Programme website for information, but note that CIM has the additional requirement of a minimum 6.0 in the IELTS writing component for acceptance through this programme.
Fees – Home & EU £9,440 / £5,150 (Full time / Part time), Overseas £20,160 / £10,510 (Full time / Part time). Up to date information on bursaries can be found on our funding pages.
All students on CIM degrees are given a laptop to use in class… and to keep.
Further information on entry requirements, fees and English language requirements are available on our study pages.
The following are the core modules for this MSc:
- IM913 Spatial Methods and Practice in Urban Science
- IM919 Urban Data - Theory and Methodology
- IM906 Dissertation
These modules will enable you to develop key competences on urban informatics and analytics, including topics such as urban theory, spatial data analysis, geographic information systems (GIS), urban sensing, theory and politics of urban data, urban visualisations and exploratory urban data analysis.
Our interdisciplinary approach comprises a flexible structure, which enable students from varied backgrounds to complement and expand their knowledge with an individually-tailored selection of optional modules from the following list:
The modules with a grey background are recommended options for the MsC in Urban Informatics and Analytics.
Optional modules from other departments may be considered as part of your degree programme. Should you wish to undertake an outside option, you will need to discuss this with your Masters Convenor.
As a part of the Warwick Institute for the Science of Cities (WISC), the students of the MSc in Urban Informatics and Analytics will be in contact with a consortium of world-class institutions from around the globe, led by the CUSP (Center for the Urban Science and Progress) at New York University (NYU), and including the University of Warwick, Carnegie Mellon University, the City University of New York, Indian Institute of Technology Bombay and University of Toronto. Students of the MSc Urban Informatics and Analytics will be invited to participate in WISC and CUSP activities such as the WISC Seminar Series and the CUSP “urban data dive”.
The course also provides a pathway to the PhD programme in Urban Science at WISC for those intending to undertake further postgraduate research at the doctoral level. Each year, WISC offers several 1+3 full studentship positions through the EPSRC-CDT programme on merit basis to UK/EU students who wish to study for PhD in Urban Science. Please contact WISC for more information and eligibility criteria.