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    Connected Environments MSc
    Go to University College London (UCL)
    University College London (UCL)

    Connected Environments MSc

    University College London (UCL)

    University College London (UCL)

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    United Kingdom, London

    University RankQS Ranking
    9

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Main Site

    London

    Stratford (UCL East)

    Program Language

    English

    Start & Deadlines

    Next Intake Deadlines 30-Jan-2023
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    GBP 37,500  / year
    Apply Date 30-Jan-2023

    Connected Environments MSc

    About

    About this degree

    UCL Centre for Advanced Spatial Analysis has a long history of thinking about the science of cities and how data can help us understand our complex environments. Our goal for the Connected Environments programme is to extend this activity further and focus on the research challenges that relate to the infrastructure required to instrument and understand our built and natural environments from an end to end perspective – i.e from understanding what to sense, through to developing tools to support decision making. As such the course builds on the need for a skill set in programming, data capture and visualisation, and prototyping with stakeholders to support the analysis of complex systems.

    The course will be delivered at the brand new UCL East campus on the Queen Elizabeth Olympic Park in Stratford, East London. This is the biggest development in our 200-year history, and our accessible, state-of-the-art facilities will have shared labs and workshop spaces open to all, to facilitate collaboration across different disciplines. Research staff in the Connected Environments Lab have been working with stakeholders in the park for the past 10 years and have established a living lab environment in both the buildings and the surrounding landscape.

    The programme has been co-developed with industry as a result of a 5 year industry academic research collaboration between UCL and Intel. A number of key learning objectives motivated the programme:

    • Understanding of current state of art IoT best practice in an urban context.
    • Enable skills to prototype IoT systems
    • Develop skills in embedded AI techniques
    • Develop mobile and web applications to collect and store time-series data
    • Work with stakeholders to gain insight into the politics and economics of IoT
    • Scientifically acquire and analyse data
    • Use data analytics skills
    • Communicate effectively through academic writing and oral presentations
    • Carry out independent research

    Who this course is for

    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.

    What this course will give you

    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. Our research led teaching is delivered by staff who are working on live research projects providing exposure to experts working at the cutting edge of developments in IoT.

    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 professional development; monitor and adjust a personal programme of work on an on-going basis; exercise initiative and personal responsibility.

    Key Highlights from REF 2021:

    • The Bartlett is where the UK’s most ‘World Leading’ and ‘Internationally Excellent’ built environment research is undertaken.
    • 91% of our research has been deemed ‘World Leading’ and ‘Internationally Excellent’.
    • The Bartlett is number one for Research Power in the built environment. It is the UK’s largest faculty of the built environment and REF 2021 has confirmed both our unique breadth, and excellence across this portfolio.

    Advances in digital technologies are providing us the means to sense, visualise and increasingly understand our built and natural environments. These Connected Environment technologies are the forefront of an emerging science, interlinking the Internet of Things (IoT), Artificial Intelligence, (AI), Virtual Reality (VR) and Data Science. This programme will introduce you to electronics, programming and the design process. You will gain hands-on experience of everything from idea generation to prototyping and deployment.

    Requirements

    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.

    English Program Requirements

    Career

    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.

    Fee Information

    Tuition Fee

    GBP 37,500 

    Application Fee

    GBP  
    University College London (UCL)

    Connected Environments MSc

    University College London (UCL)

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    United Kingdom,

    London

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