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Connected Environments MSc

UCL (University College London)

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UCL (University College London)

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    UCL (University College London)

  • Study mode

    Full time

  • Start date

    01-SEP-25

  • Duration

    1 year

Course summary

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. 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.

Tuition fees

Students living in Hong Kong
(International fees)

£ 37,500per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

UCL (University College London)

UCL (University College London)

  • University League Table

    9th

  • Campus address

    UCL (University College London), Gower Street, London, Camden, WC1E 6BT, United Kingdom

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Subject rankings

  • Subject ranking

    Building

    7th out of 36 7

    4th out of 68

  • Entry standards

    / Max 158
    n/a

  • Graduate prospects

    / Max 100
    83.0 83%

    23rd

    6

  • Student satisfaction

    / Max 4
    3.10 77%

    10th

    12

  • Entry standards

    / Max 227
    203 90%

    6th

  • Graduate prospects

    / Max 100
    90.0 90%

    16th

  • Student satisfaction

    / Max 4
    3.06 77%

    24th

    11

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