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 Analytics and Visualisation 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
*This course was formerly known as Urban Informatics and Analytics
Previously, a selection of the following options have been offered:
- Foundations of Data Analytics
- Digital Cities: Interdisciplinary Perspectives
- Interdisciplinary approaches to machine learning
- Urban Resilience, Disasters and Data
- Big Data Research: Hype or Revolution
- Social Informatics
- Data Mining
* The modules mentioned above may be subject to change. Please read our terms and conditions for more detailed information.
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.
A combination of essays, reports, design projects, technical report writing, practice assessments, group work and presentations and an individual research project.
This course equips you for future opportunities as an urban data scientist within business, government, NGOs and thethird sector, where expertise in using analytics and data visualisation 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.
To Visit Warwick...
There are a number of different ways to visit the University of Warwick throughout the year. We host bespoke PG visits, where you can talk directly with your chosen department and explore our campus through a personalised tour. Some departments also host their own events and open days, where you can learn more about your department or course of study. To find out more about all of these opportunities, visit our Postgraduate Visits page.
Full-time: 1 year
(September 2019 - September 2020)
Part-time: 2 years
(September 2019 - September 2021)
2:i undergraduate degree. We consider each application on its merits, so please get in touch
with us to discuss course eligibility if you are unclear about entry requirements or have any questions.
English Language Requirements
IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.
There may be the option to attend the Pre-Sessional English Programme prior to commencement of study.
Department of Study
Location of Study
University of Warwick
See Student Finance
A range of scholarships are available, including two funded bursaries of £4,000 for Home/EU students studying the MSc in Urban Analytics and Visualisation. For more information
Additional Course Costs
All students on CIM degrees require a laptop computer for their studies. This is provided by the centre (CIM) for students to use and keep. The cost is included in course fees.
Find out more about fees and funding on the University website.