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.
The core modules will enable you to develop key competences in 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.
- Spatial Methods and Practice in Urban Science
- Urban Data: Theory and Methodology
Our interdisciplinary approach comprises a flexible structure, which enables students from varied backgrounds to complement and expand their knowledge with an individually-tailored selection of optional modules (e.g. Visualisation; Urban Resilience; Data Mining; Digital Cities). As a research led institution, optional module lists are subject to change each year to keep the student learning experience current and up-to-date.
For the optional modules available please visit the Centre website.
* The modules mentioned above may be subject to change. Please read our terms and conditions for more detailed information.
Modules in this course make use of range of teaching and learning techniques, including, for example: blended learning including the use of an online virtual learning environment; student group and project work; lectures; seminars; reading and directed critical discussion; independent research by students; practice-based activities. Modules are designed to allow students with different disciplinary backgrounds to learn from each other and have a productive exchange of ideas.
A combination of essays, reports, design projects, technical report writing, practice assessments, group work and presentations and an individual research project.
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.
Full-time: 1 year
Part-time: 2 years
2:i undergraduate degree (or equivalent) in a relevant subject
English Language requirements
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.
Department of study
Location of study
University of Warwick
Home/EU: £9,440 per year
Overseas: £20,160 per year
Home/EU: £5,150* per year
Overseas: £10,150* per year
*Students pay £800 in 2017/18 and £860 in 2018/19 for laptop in Year 1 only.
Find out more about fees and funding.