Key Takeaways

• The Bartlett Centre for Advanced Spatial Analysis at UCL specializes in urban science, offering courses that integrate research and consultancy.
• Courses aim to prepare students for careers in urban design, AI, data science, and GIS, focusing on building smart and sustainable cities.
• UCL is ranked #1 globally for Built Environment studies and is located in London, recognized as the world’s best student city.

About the Bartlett Centre for Advanced Spatial Analysis

The Bartlett Centre for Advanced Spatial Analysis (CASA) at University College London (UCL) is an interdisciplinary institute dedicated to advancing the science of cities. It combines research, teaching, and consultancy to enhance urban science, fostering the skills necessary for design, governance, and innovation in urban settings.

CASA brings together a diverse array of professionals, including geographers, mathematicians, economists, planners, architects, and artists. The center offers courses aimed at preparing students for the future workforce in areas like urban design, artificial intelligence (AI), data science, and geographic information systems (GIS). These programs focus on transforming urban landscapes into smart and sustainable cities.

UCL’s Bartlett School is internationally recognized, recently achieving the top ranking in Built Environment studies according to the QS World University Subject Rankings for 2024. This elite educational institution is situated in London, a city renowned for its vibrant academic environment and identified as the best student city globally.

Programs Available

The following master’s programs are offered at CASA:

– **Urban Spatial Science MSc**: This program delves into the theoretical and scientific foundations of the urban built environment, adopting a geo-spatial and data-oriented approach.

– **Urban Spatial Science MRes**: This research-focused Master’s program emphasizes improving global urban resilience and sustainability through data-driven spatial analysis.

– **Connected Environments MSc**: Students in this course engage in creating, coding, and deploying data-sensing devices to analyze interactions within both built and natural environments.

For those interested in joining these courses and receiving updates about open days and other sessions, there is an option to register interest through a dedicated form.

By studying at CASA, students have the opportunity to contribute to the evolving field of urban studies while gaining practical skills that are highly sought after in today’s job market.

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