Smart Cities and Urban Analytics MSc

Options: PG Diploma


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.


Mode of study

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

Tuition fees

  • UK/EU Full-time: £11,000
  • Overseas Full-time: £19,050

Application date

  • All applicants: 1 August 2014

More details in Application section.


What will I learn?

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.

Why should I 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.


Students undertake modules to the value of 180 credits. The programme consists of 6 core modules (105 credits), 1 optional modules (15 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma (120 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 10–12,000 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 details available on subject website:


Scholarships available for this department

Bartlett Masters Scholarship

These scholarships are based on financial need.

Further information about funding and scholarships can be found on the Scholarships and funding website.


Entry requirements

Normally a minimum of a lower 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.

International equivalencies

Select your country for equivalent alternative requirements

English language proficiency level: Standard

How to apply

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.

The deadline for applications is 1 August 2014.

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.

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.


Career

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.


Next steps

Contact

Miss Lisa Cooper

T: +44 (0)20 3108 3327

W: Centre for Advanced Spatial Analysis

Apply

APPLY HERE

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Staff View

"I am inspired by the excitement of innovation and finding the 'shiver down the spine' moment when you know a research idea has the potential to change a sector or to make a real difference in our knowledge and understanding of cities."

Dr Andrew Hudson-Smith

Director, CASA

Student View

"In my field of study I can learn the latest technological advances that relate to the urban environment and how to use them to become a better professional."

Flora Roumpani

Degree: PhD