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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. The Connected Environments MSc at The Bartlett Centre for Advanced Spatial Analysis (CASA) provides you with an opportunity to build this future. This hands-on Master’s course focuses on coding, prototyping, and deploying devices that sense, communicate, and analyse data from both our built and natural environments. You'll gain in-demand skills in programming, data capture, and visualisation that are essential for addressing today's pressing environmental and urban challenges. Delivered at the UCL East campus on the Queen Elizabeth Olympic Park in Stratford, East London, the course takes full advantage of its cutting-edge facilities. Here, you'll benefit from state-of-the-art teaching labs equipped with the latest technology, a light fabrication workshop for rapid prototyping, and access to the extensive makers' workshop at the Institute of Making – a multidisciplinary hub for hands-on creation. These resources are designed to foster truly interdisciplinary collaboration. This prime location also serves as a dynamic living lab, providing unparalleled opportunities for hands-on, practice-led teaching. We are actively working with collaborators across the Olympic Park to develop a park-wide living laboratory, offering you an environment to build and deploy physical prototypes in real-world settings. Students graduating from the Connected Environments MSc showcase their final projects in our end of year show at UCL East. The show highlights a range of projects developed in response to the challenge to sense, deploy, and communicate data: from environmental sensing to data-driven approaches to shape urban environments. This multidisciplinary degree is ideal for curious, creative minds from diverse backgrounds, including the Arts, Computer Science, Geography, Architecture, and Engineering. No prior programming expertise is required, but a strong enthusiasm to learn coding and engage with hands-on making to shape smarter cities and sustainable environments is essential. This programme is also available on a modular (flexible) basis, with a duration of 5 calendar years.
