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. The programme reflects the changes that technology is making to the operation of, and our understanding of, the city, and gives students the technical and theoretical skills needed to make a difference to the cities of today and tomorrow.
Modes and duration
Tuition fees (2017/18)
- £13,770 (FT)
- £25,130 (FT)
Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Current Students website. Fees for flexible, modular study are charged pro-rata to the appropriate full-time Master's fee taken in an academic session.
Normally a minimum of a second-class UK Bachelor’s degree in an appropriate subject, or an overseas qualification of an equivalent standard. Candidates who hold a professional or other qualification obtained by written examinations and approved by UCL together with at least three years of appropriate professional experience may also be admitted.
English language requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Standard
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
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.
- Geographic Information Systems and Science
- Quantitative Methods
- Smart Cities: Context, Policy and Government
- Urban Systems Theory
- Spatial Data Capture, Storage and Analysis
- Urban Simulation
- Introduction to Programming
- Or any other open 15-credit module from across UCL
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.
Scholarships relevant to this department are displayed below.
- £10,000 (1 year)
- UK, EU, Overseas
- Based on financial need
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
This programme gives students the skillset and knowledge base to embark on a professional or academic path through the highly interdisciplinary field of spatial science.
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.
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2012–2014 graduating cohorts six months after graduation.
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.
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 newly-created Smart Cities Board at the Greater London Authority to advise the Mayor on developments.
Department: Centre for Advanced Spatial Analysis
Student / staff numbers
› 34 staff
› 40 taught students
› 18 research students
Staff/student numbers information correct as of 1 August 2017.
Research Excellence Framework (REF)
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Centre for Advanced Spatial Analysis
74% rated 4* (world-leading) or 3* (internationally excellent)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
Application and next steps
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.
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.
- 28 July 2017
- Flexible/Modular applicants
- 28 July 2017
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.