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Taught degree

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

Optional qualifications: This degree is also available as a PG Diploma with fees set accordingly.

Modes and duration

  • Full-time: 1 year

Tuition Fees (2015/16)

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

Application deadlines

All applicants:
1 August 2015

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 requirement: Standard

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.

International equivalencies

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

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

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.

Funding

Brown Family Bursary

Value:
£15,000
Duration:
1 year
Eligibility:
Prospective full-time Master's students within the Faculties of the Built Environment, Engineering Science and Mathematical & Physical Sciences.

Bartlett Masters Scholarship

Value:
£5,000
Duration:
1 year
Eligibility:
Prospective MSc, MA or MArch students in the Bartlett Faculty. Applicants' annual income (from a salary or other sources) at the start of the programme must not exceed £14,000 (full-time study) or £28,000 (part-time study).

More scholarships are listed on the scholarships 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
2015-08-01

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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