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.
