Through your core modules – Spatial Methods and Practice in Urban Science; Urban Data – Theory and Methodology; and a Dissertation – you’ll gain a broad foundation of knowledge and skills to approach the world’s urban challenges.

You’ll cover topics ranging from the foundations of urban theory, to advanced use of spatial methods and geographic information systems, while exploring at a deep level the limits of various data and methodologies. Beyond this, you’ll be free to choose from a wide range of optional modules, many of which will directly give you opportunities to develop the skills you’ll have been learning in your core modules.

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.

You'll have come from disciplines including urban planning, computer science, sociology and politics, to name a few. Most importantly, you'll share an ambition to learn how to apply urban data science to real-life urban environments. We also welcome applications from professionals related to city management or planning.

The MSc in Urban Analytics and Visualisation 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, 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.

Our core modules will enable you to develop key competences on urban analytics and visualisation, 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 (IM913)Link opens in a new window
• Urban Data - Theory and Methodology (IM919)Link opens in a new window
• Dissertation (IM906)Link opens in a new window

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.

• Digital Objects, Digital Methods (IM904)Link opens in a new window
• Visualisation (IM921)Link opens in a new window
• Digital Cities: Interdisciplinary Perspectives (IM927)Link opens in a new window
• Approaches to the Digital (IM902)Link opens in a new window
• Digital Sociology (IM920)Link opens in a new window
• User Interface Cultures: Design, Method and Critique (IM923)Link opens in a new window
• Interdisciplinary Approaches to Machine Learning (IM931)Link opens in a new window
• Data Science Across Disciplines: Principles, Practice and Critique (IM939)Link opens in a new window
• Media Activism (IM933)Link opens in a new window
• Ecological Futures: Science, Media and Culture (IM934)Link opens in a new window
• Data Mining (CS909)Link opens in a new window
• Foundations of Data Analytics (CS910)
• Social Informatics (CS916)Link opens in a new window
• Fundamentals in Quantitative Research Methods (QS905)Link opens in a new window
• Big Data Research: Hype or Revolution (QS906)Link opens in a new window
• Thinking Water (IL905)Link opens in a new window

DURATION

Full-time: 1 year

Part-time: 2 years

ENTRY REQUIREMENTS

2:i undergraduate degree (or equivalent).

ENGLISH LANGUAGE REQUIREMENTS

Band BLink opens in a new window

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.

2021-22 COURSE FEES

Full-time: Home: £10,980 per year; Overseas: £23,520 per year

Part-time: Home: £5,950 per year; Overseas: £12,220 per year

We consider all eligible applicants for bursaries and scholarship while funds are available, so do apply for the course as early as possible if you'd like to be considered.

PhD Funding is possible through a number of sources at Warwick.

Information on all funding sources available to CIM postgraduate candidates (Masters and Doctoral) is available hereLink opens in a new window.