MSc & MRes

Smart Cities

At CASA our Master’s programmes draw on the biggest group of researchers in urban studies, transport, computer science and planning in the world. London is our living laboratory. This is the ideal environment for learning about the challenges of world cities right here on our doorstep. Our courses open doors to new job opportunities in planning and engineering that are absolutely critical to our future cities.


About Smart Cities Courses available Key differences between MSc and MRes

Want to be at the forefront of changing cities for the better?

Want to acquire the skills to be the change makers of the 21st century in Want to cities? bring this science to those living in cities so that they can be involved in their future design?

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Course Structures MSc MRes

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About Us Our Expertise


Applications How to Apply


We offer the UK’s first postgraduate courses on Smart Cities 3

About Smart Cities

By the end of this century most of us will be living in cities, cities that will be massively automated in comparison with those of today.

At CASA you will learn how to change our future cities making them fairer and more efficient.

Our Master’s programmes are unique in educating graduates into the ways in which such smart cities will be developed.

Our courses offer the latest in urban analytics - methods that let you explore massive data sets, simulate how cities work using new data, and enable new ways in which this science can be brought to the citizen.

Smart cities are all about how computers, data, and analytics, which consist of models and predictions, are being embedded into cities. Cities, currently, are being extensively wired, thus generating new kinds of control and new kinds of services, which are producing massive data streams – ‘big data’.

To this end, we need powerful analytics to make sense of this new world. Our courses reflect the very latest in the science of cities. 4


Courses Available

We are offering two new Master’s level degree programmes from September 2014 6

MSc Smart Cities and Urban Analytics and MRes Smart Cities

Taken full-time, the courses run for 12 months, commencing in September

The part-time option allows you to take the course at your own pace, from between 2 and 5 years 7

Key Differences 8

MSc (Master of Science) and MRes (Master of Research) degrees are both postgraduate courses. They both contain taught elements, compulsory and optional modules which are assessed, with the MRes being more research focussed with fewer taught classes than the MSc which has a more practice-based emphasis.

Typically, an MRes is ideal as a grounding for those wishing to pursue further study to PhD level whereas an MSc may be more suitable for someone wishing to expand their knowledge of a particular area without necessarily wanting to study to doctoral level.


Course Structures

MSc Smart Cities and Urban Analytics

MRes Smart Cities

Term One - 60 credits Smart Systems Theory Quantitative Methods Geographic Information Systems and Science plus an optional module

(15 credits) (15 credits) (15 credits) (15 credits)

Term One - 30 credits minimum * Communication Skills Quantitative Methods * plus an optional module in either Term One or Term Two

(15 credits) (30 credits) (15 credits)

Term Two - 45 credits minimum * Smart Cities: Context, Policy and Government Group Project: Smart City Data and Intelligent Analysis

(60 credits)

Term Three onwards - 90 credits Dissertation (15,000 words)

Term Two - 60 credits Smart Cities: Context, Policy and Government Spatial Data Capture, Storage & Analysis Urban Simulation Term Three onwards - 60 credits Dissertation (10,000-12,000 words)

(15 credits) (15 credits) (15 credits) (15 credits) (30 credits) (90 credits)

Further information on the module content is available at 10

Skills in computing and programming will be developed throughout the course


Our expertise

Andy Hudson-Smith

Mike Batty

CASA is one of the leading forces 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 computerbased visualisation and modelling. 12

Alan Wilson

Martin Austwick

Elsa Arcaute

Our current mix of architects, planners, geographers, mathematicians, physicists, archeologists, engineers and computer scientists make CASA a unique department within UCL.

Adam Dennett

Hannah Fry

Our academic staff are immersed in research involving smart cities as shown through their diverse range of projects and publications. Visit the website to view their full profiles. 13

How to Apply 14

Applying for a place on one of these courses is simple via UCL’s online admission system. First you need to decide which course you would like to apply for, either the MSc in Smart Cities and Urban Analytics or the MRes in Smart Cities.

Then you need to decide whether you’d like to study full time (in one calendar year) or on a part-time flexible modular basis (between 2 and 5 calendar years).

Completed applications are forwarded to us for consideration by the course leader and academic staff who will make a decision on your suitability. UCL’s admissions office will send you the formal outcome of your application, and normally the whole process takes just a few weeks.

If you need any help at any stage of the process, please do not hesitate to contact our Teaching and Learning Administrator, Lisa Cooper either by email [email protected] or by telephone +44 20 3108 3327.

Visit for a link to UCL’s online application form


The Centre for Advanced Spatial Analysis is one of the leading forces 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. We are part of The Bartlett: UCL’s global faculty of the built environment.

The Bartlett Centre for Advanced Spatial Analysis University College London Gower Street London WC1E 6BT Visit Follow @casaucl