Modes and duration
- Full-time: 1 year
- Part-time: 2 years
- Flexible: up to 5 years
Tuition Fees (2015/16)
- £6,900 (FT)
- £19,620 (FT)
- All applicants:
- 31 July 2015
Normally a minimum of an upper 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:
The programme aims to provide the necessary tools to study and model the different characteristics that make cities smart. Demographic, economic, morphological and connectivity aspects are studied within the umbrella of context, policy and government. Relevant transferable skills will be acquired, from scientific methodology and quantitative methods to data mining and analysis of big datasets. Subject-specific modules provide the opportunity to develop an excellence in spatial analysis and urban modelling.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (75 credits), one optional module (15 credits) and a dissertation/report (90 credits).
- Communication Skills
- Quantitative Methods
- Smart Cities: Context, Policy and Government
- Smart City Data and Intelligent Analysis
- Geographic Information Systems and Science
- Introduction to Programming
- Smart Systems Theory
- Urban Simulation
All students undertake an independent research project which culminates in a dissertation of 15,000-20,000 words.
Teaching and Learning
Teaching will be delivered through a variety of written coursework and final dissertation, and presentation of researched material, practical investigations and a series of projects throughout the year. Assessment is via practical projects with presentation components, a collaborative group research project, written coursework and examinations, and a final dissertation.
Scholarships relevant to this department are displayed below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
- £15,000 (1 year)
- UK students
- Based on both academic merit and financial needs
More scholarships are listed on the Scholarships and Funding website
This programme aims to develop fully trained and competent researchers in the field of urban science, and provide high-quality training to enable students to carry out future doctoral research.
Students will develop an enhanced understanding of urban systems, their dynamics and characteristics, together with their policy and governance. They will learn tools that will allow them to mine and analyse large datasets, construct models via different tools from complex systems such as network, and apply them to social, economic or transport problems amongst others.
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, with Smart Cities and Urban Analytics as currently the only UK-based MRes 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 been in talks with all of these companies and the Director sits on the newly-created Smart Cities Board at the Greater London Authority to advise the Mayor on developments.
Student / staff ratios › 8 staff › 19 taught students › 14 research students
Department: Centre for Advanced Spatial Analysis
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.
- All applicants
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 at graduate level
- why you want to study Smart Cities 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