Advances in digital technologies are providing us the means to sense, visualise and increasingly understand our built and natural environments. These ‘Connected Environments’ are the forefront of an emerging science, interlinking the Internet of Things, Artificial Intelligence, Mixed Realities and Data Science, via a unique a hands-on, learning through doing approach to sensing, visualising and analysing these emerging environments.
Please see the full list of Graduate Taught programmes for information on other programmes available.
Modes and duration
Full-time students study for 37.5 hours per week during term time. Typically, lectures and seminars occur on two days per week. Part-time and Flexible students normally attend half this amount.
Tuition fees (2021/22)
Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.
A minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.
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
UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses
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:
About this degree
The programme addresses the increasing demand for a skill set in programming, data capture and visualization, and prototyping. With a focus on research challenges relating to the infrastructure required to instrument our built and natural environments, the programme is part of the ethos around Experiments, Arts, Society and Technology (EAST), building upon the excellence and expertise of CASA.
Students undertake modules to the value of 180 credits.
The programme consists of eight compulsory modules (120 credits) and a dissertation (60 credits).
Upon successful completion of 180 credits, you will be awarded a MSc in Connected Environments.
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.
- Connected Environments (15 credits)
- Mobile Systems and Interactions (15 credits)
- Making, Designing and Building Connected Sensor Systems (15 credits)
- Web Architecture (15 credits)
- Deep Learning for Sensor Networks (15 credits)
- Sensor Data Visualisation (15 credits)
- Ethics, Sustainability and Business of the Internet of Things (15 credits)
- Connected Environments Group Prototype and Pitch (15 credits)
- Dissertation (60 credits)
There are no optional modules for this programme.
Students must submit a 10,000 word dissertation. Support will be given through monthly face-to-face tutorials with the student's dissertation supervisor (academic / industry) throughout Term 3 and the summer period.
Teaching and learning
You will be assessed via a variety of methods including building physical objects, creating software workflows and visualisations as well as written assessments, reports and group-work. You will also complete a dissertation as the assessment method for the final research project.
Students spend about 27% of their time working on independent projects, 27% in laboratories and studios, 20% on assessments, 13% in lectures, and 13% on independent study.
There are no additional costs for this programme. Standard general costs may include the optional purchasing of books or stationery, plus the cost of printing, thesis binding and photocopying.
Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk. Further information can also be obtained from the UCL Student Support & Wellbeing team: ucl.ac.uk/students/fees-and-funding.
UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies. Any additional funding available from the Centre for Advanced Spatial Planning and the Built Environment Faculty Office are advertised on the respective websites.
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Alumni from programmes at the Centre for Advanced Spatial Analysis have gone on to work in a variety of roles across the sector including Movement Strategies, ARUP, Westminster Council and Lendlease with placements around the world. Many have also gone on to acquire Doctorates either with UCL or at other leading institutions around the world with those further advancing into Assistant Professor posts.
This programme takes a holistic view toward developing the skill sets digital practitioners require. You will learn how to deliver end-to-end solutions from prototyping in hardware and software, to maintaining live sensor installations for the duration of the course. The technical activity is equally balanced with an understanding of the socio / economic factors such as stakeholder engagement and business model development for connected environment infrastructure.
The end-to-end approach, the focus on learning through making, and prototyping real-world solutions are all critical to developing the transferable skill set which is employable in this emerging market place.
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.
The programme is unique in that it develops a skill set required to deliver end-to-end solutions from developing stakeholder requirements, understanding technology, building prototypes, through to understanding how to influence decision makers.
The programme will enable you to: apply your skills in problem solving, communication, information retrieval, working with others and the effective use of general IT facilities; plan self-learning and improve performance, as the foundation for lifelong learning / continuing professiona development; monitor and adjust a personal programme of work on an on-going basis; exercise initiative and personal responsibility, which may be as a team member or lead.
In REF 2014 46% of The Bartlett’s research was rated 4* i.e. “world-leading”, with a further 35% recognised as 3* i.e. “internationally excellent”.* The Bartlett submitted the largest quantity of 4* world-leading research outputs (156 items) of any university submitting to the Architecture, Built Environment and Planning sub-panel. On “Research Environment”, which grades the “vitality” and “sustainability” of the research environment, the Bartlett received the highest score for submission to the Architecture, Built Environment and Planning sub-panel.
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.
This programme requires two references. Further information regarding references can be found in our How to apply section.
There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at: ucl.ac.uk/prospective-students/graduate/taught/application.
Who can apply?
We aim for a multidisciplinary cohort and therefore are looking for prospective students with undergraduate qualifications ranging from the Arts, Computer Science, Geography, Architecture and Engineering.
- All applicants
- 30 July 2021
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 Connected Environments at graduate level
- why you want to study Connected Environments at UCL
- what particularly attracts you to the chosen programme
- how your academic and professional background meets the demands of this challenging programme
- 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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