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URBAN ANALYTICS AND VISUALISATION (MSC)

For the first time in history, more than half of the world’s population lives in urban areas. At the same time, cities and urbanised regions in general are increasingly linked 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 both the practical and theoretical skills needed–such as data analytics, urban theory, and visualisation techniques–to tackle these challenges, combining practice with cutting-edge theoretical and methodological understanding of urban systems.

OUR COURSE OFFERS:

  • Deep understanding of the nexus between urban life and digital technology 
  • Thorough knowledge of interdisciplinary urban analytical methods 
  • 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.

CORE MODULES

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.

OPTIONAL MODULES

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.

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.

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.

Opportunity
Eligibility
Further Details
CIM Home (UK) Bursaries

A total of six CIM Home Bursaries are available for the three CIM Masters courses. Each bursary will provide a £4,000 contribution towards tuition fees for Home students, with two attached to each Masters course.

Deadline for applications: 31 Aug 2021

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Li Xiaoming Scholarships

A scholarship in memory of Li Xiaoming. Available to Masters level students from the People's Republic of China.

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Postgraduate Loans

Home / EU students may be eligible to apply for a loan to support their study and living costs. Postgraduate Loans have to be paid back.

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Warwick Postgraduate Sanctuary Scholarships

Scholarships to support refugee, humanitarian protection and asylum seeking students in the UK.

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Warwick Alumni Discount Scheme

10% tuition fee discount will be available to Warwick graduates who have Home/EU or Overseas fee status. You must be a graduate of Warwick at any level of qualification.

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Warwick Taught Masters Scholarships

Bursaries to support Home fee status students and UK domicile EU students who satisfy certain eligibility criteria.

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Commonwealth Shared Scholarship Scheme

Fee and stipend awards to support MA Digital Media and Culture candidates from developing countries.

Full details are available here

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 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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