Urban Analytics Track
Cities are becoming smarter: they’re using data to optimize services, infrastructure operation, and urban planning. Government agencies, nonprofits, consulting firms, and startups all recognize the importance of leveraging data to create effective public policy and urban plans but grapple with how to analyze large, complex datasets and apply the findings in urban planning environments.
The Urban Analytics track will equip you with rigorous data analysis skills and an understanding of urban planning and design—both of which are necessary for using data-driven approaches to tackle today’s most pressing urban challenges.
Graduates will be prepared for careers at government agencies, consulting firms, nonprofits, and civic tech startups. You’ll have the skills to analyze, design, and advocate for policies and plans that make an effective impact on the public good. You’ll hit the ground running with the ability to create new approaches, platforms, and technologies that better serve the world’s ever-changing urban populations.
Degree Core Courses
Students choose 6 elective credits (fall):
URPL-GP.2618, Geographic Information Systems
PADM-GP.4505, R Coding for Public Policy
PADM-GP.4506, Python Coding for Public Policy
CUSP-GX.5002, Principles of Urban Informatics
CUSP-GX.7004, Urban Decision Models