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Smart Cities and Urban Analytics MSc

This new programme is unique in its focus on the core challenges relating to the infrastructure of 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 skills and quantitative social science needed to understand the cities of the present and of the future.

Key Information

Modes and duration

  • Full-time: 1 year
  • Flexible: up to 5 years

Tuition Fees (2015/16)

UK/EU:
£11,330 (FT)
Overseas:
£19,620 (FT)

Application deadlines

All applicants:
31 July 2015
Optional qualifications: This degree is also available as a PG Diploma with fees set accordingly.
Fees note: Fees for flexible, modular study are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. The tuition fee schedule for 2015/16 entry can be viewed on the UCL Current Students website.

Entry Requirements

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.

International students

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:

Degree Information

The programme aims to provide training in the principles and skills of social and spatial research. It develops portfolios of urban simulation which inform future design, explores technologies around sensing and flows, creates an understanding of smart systems theory and a skill set in quantitative methods, geographic information science and programming.

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.

Core Modules

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

Options

  • Introduction to Programming

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 and final dissertation, presentation of researched material and practical investigations, and participation in dedicated skills modules.

Further information on modules and degree structure available on the department web site Smart Cities and Urban Analytics MSc

Funding

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.

Bartlett Masters Scholarship

Value:
£5,000 (1 year)
Eligibility:
UK, EU, Overseas students
Criteria:
Based on financial needs

Brown Family Bursary

Value:
£15,000(1 year)
Eligibility:
UK students
Criteria:
Based on both academic merit and financial needs

More scholarships are listed on 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 develop an enhanced understanding of space, temporal dynamics, the simulation of spatial behaviour, network, visualisation, communication and interlinking topics that share a similar need for data, outreach and research skills.

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 been in talks with all of these companies and the Programme 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

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.

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

All applicants
2015-07-31

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.

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