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This programme is unique in its focus on the core challenges facing our increasingly 'smart' cities, from their operational functions and planning through to management and control. Reflecting the changes that technology is making to the operation of, and our understanding of, the city, the degree gives students the technical and theoretical skills needed to make a difference to the cities of today and tomorrow.

About this degree

Students are equipped with key quantitative practical skills such as mathematical and statistical modelling, computer programming, spatial analysis and cartographic visualisation, underpinned by broad theoretical perspectives on the demographics, economics, form, function, network interactions, governance, policy, planning and crucially science of cities across the world.

Students undertake modules to the value of 180 credits.

The programme consists of six core modules (105 credits), one optional module (15 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma, six core modules (105 credits), one optional module (15 credits), is offered.

Compulsory modules

  • Geographic Information Systems and Science
  • Quantitative Methods
  • Smart Cities: Context, Policy and Government
  • Urban Systems Theory
  • Spatial Data Capture, Storage and Analysis
  • Urban Simulation

Optional modules

  • Introduction to Programming for Spatial Analysts
  • Agent Based Modelling for Spatial Systems
  • Or any other open 15-credit module from across UCL

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning

The technical aspects of the programme will be delivered through traditional workshops, lectures and practicals, but we will seek to incorporate novel assessment methods such as blog posts, and shared outputs such as visualisations/maps and web apps. Assessment is through a variety of written coursework assignments and final dissertation, presentation of researched material and practical investigations, and participation in dedicated skills modules.

Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Careers

This programme gives students the skill set and knowledge base to embark on a professional or academic path through the highly interdisciplinary field of spatial science.

Employability

Students will graduate with an extremely broad range of new transferable practical skills including computer programming, database management, (big) data mining and web-visualistation, along with an understanding of mathematical and statistical analysis methods, geographic information science, spatial analysis and urban modelling. All of these skills are developed in parallel with a wider appreciation of the problems and challenges facing contemporary cities and how the latest data and analysis methods can help address them.

Why study this degree at UCL?

The UCL Bartlett Centre for Advanced Spatial Analysis (CASA) is one of the leading research centres in the science of cities, generating new knowledge and insights for use in city planning, policy and design, and drawing on the latest geospatial methods and ideas in computer-based visualisation and modelling.

Smart Cities is a key area of future innovation and investment in the UK, and Smart Cities and Urban Analytics is currently the only UK-based Master’s programme available in this area.

Companies such as Intel, IBM, ARUP and CISCO all have strategies around smart city development, creating a demand for skilled personnel. CASA has well-established links with these companies and the Head of Department sits on the Smart Cities Board at the Greater London Authority to advise the Mayor on developments.

Department: Centre for Advanced Spatial Analysis

Applications

Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

There is an application processing fee for this programme of £75 for online applications and £100 for paper applications. Further information can be found at: http://www.ucl.ac.uk/prospective-students/graduate/taught/application.

Who can apply?

This programme is suitable for graduates or practitioners in a related field (e.g. architecture, computer science, environmental science, geography, planning, physics, mathematics, remote sensing, geomatic engineering, or transport studies) who wish to produce, run, examine and develop smart cities of the present and the future.

Application deadlines

26 July 2019

For more information see our Applications page.

Apply now

What are we looking for?

When we assess your application we would like to learn:

  • why you want to study Smart Cities and Urban Analytics at graduate level
  • why you want to study Smart Cities and Analytics at UCL
  • what particularly attracts you to this programme
  • how your personal, academic and professional background meets the demands of a challenging academic environment
  • where you would like to go professionally with your degree

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.


Visit the Smart Cities & Urban Analytics MSc/PG Dip page on the University College London website for more details!

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