Description

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.

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.

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.

Study Details:

MSc Full-time: 1 year Part-time: 2 years Flexible: up to 5 years

Module Details:

Compulsory modules

  • 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)

Optional modules

There are no optional modules for this programme.

Dissertation/report

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.

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.

For further and the most up-to-date information about the programme structure please visit the UCL Prospectus website.

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

Employability

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.

Fees

For fees and funding options, please visit website to find out more

Entry Requirements

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.

International equivalent qualifications are considered, they can be found by selecting the relevant country from a drop down list in the entry requirements section of each programme page in the UCL Graduate Prospectus.

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

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Key Information

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University Hub

University College London – The Bartlett

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