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URBAN ANALYTICS AND VISUALISATION (MSC)

URBAN

For the first time in history, more than half of the world’s population lives in urban areas. Towns and cities 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 COURSE OFFERS:

  • 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

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.

DURATION

Full-time: 1 year

Part-time: 2 years

ENTRY REQUIREMENTS

2:i undergraduate degree (or equivalent).

ENGLISH LANGUAGE REQUIREMENTS

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.

2019-20 COURSE FEES

Full-time: Home/EU: £9,870 per year; Overseas: £21,130 per year

Part-time: Home/EU: £5,365 per year; Overseas: £10,995 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.

Funding is available for Home / EU students for the three Masters courses. There are a number of options available via CIM and Q Step GREAT-India Scholarships are available for the three Masters courses. This is a competitive bursary available to students applying from India. PhD Funding is possible through a number of sources at Warwick.

Further information on entry requirements are available here.

URBAN ANALYTICS AND VISUALISATION (MSC)

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.

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