Urban Analytics, Graduate Certificate
Daniel O'Brien, PhD
Graduate Program Director
310 Renaissance Park
Graduate Program Administrator
310 Renaissance Park
With 75 percent of the world’s population projected to be living in cities by 2050, the need for professionals in urban planning and related careers will only increase. The Graduate Certificate in Urban Analytics seeks to prepare students outside of the Master of Science in Urban Informatics program to manage the progressively complex issues involved with rapidly expanding data and technological resources in cities. As Claire Lane of the City of Boston recently noted, “The blueprints for great cities are increasingly anchored in big data, expressed in GIS [Geographic Information Systems] and codified in coherent policy.” Successful graduates with an urban analytics certificate have skills in each of these areas, which prepares them to be professionals ready to shape the future of cities across the globe.
Students are trained with the practical and theoretical knowledge necessary to understand the intricacies of interconnected urban systems and to analyze how these systems work together to create sustainable, resilient, and just cities. The curriculum emphasizes the expertise needed to bridge emerging technological capacities and traditional policymaking processes. Students cultivate applied skills in visual presentation, analysis, and modeling of new data sets—all of which helps to inform investment and policymaking. Inspired by Northeastern’s leadership in experiential education, students use Boston and cities around the world as learning labs.
Students in the program are monitored for academic progress. Those students whose grade-point average (GPA) falls below a 3.000 are notified by and meet with the director of academic programs. They are counseled that if their GPA does not rise to a 3.000 or higher, they run the risk of not graduating and are advised on strategies for improvement.
Complete all courses and requirements listed below unless otherwise indicated.
|PPUA 5262||Big Data for Cities||4|
|PPUA 5263||Geographic Information Systems for Urban and Regional Policy||4|
|Complete 4 semester hours from the following:||4|
|Dynamic Modeling for Environmental Decision Making|
|Urban Theory and Science|
|Advanced Spatial Analysis of Urban Systems|
Program Credit/GPA Requirements
12 total semester hours required
Minimum 3.000 GPA required