New York University

USA
2 Scholarships 149 Programs 3 Degree levels
PhD

PhD Track in Urban Science: Complexity, Informatics & Sensing

Offered at New York University, USA
DegreePhD
FieldUrban Science PhD Track
Duration5 years

Overview

NYU Tandon’s Center for Urban Science + Progress (CUSP) offers an interdisciplinary doctoral track in Urban Science—bringing together complexity, informatics, and sensing approaches to study cities. The track supports PhD students across NYU Tandon programs through shared coursework, seminars, and research collaboration.

About this programme

Overview

The PhD Track in Urban Science: Complexity, Informatics & Sensing at New York University’s Tandon School of Engineering is an innovative interdisciplinary program designed for students keen on exploring the complexities of urban environments. Hosted by the Center for Urban Science + Progress (CUSP), this track integrates advanced methodologies in complexity theory, informatics, and sensing technologies to prepare scholars for impactful research in urban science.

What you'll study

This doctoral track provides a comprehensive curriculum that emphasizes collaborative learning and research. Students will engage in a variety of coursework and seminars aimed at enhancing their understanding of urban science and its various facets.

  • Urban Science Colloquium: A mandatory seminar course that students must attend each semester until they complete their PhD, fostering ongoing engagement with the latest research and developments in the field.
  • Elective Coursework: Students are required to select nine elective credits from a curated list of urban science courses offered by CUSP, allowing them to tailor their learning experience to their research interests.
  • Research and Dissertation: A significant portion of the dissertation must focus on urban science themes, utilizing methodologies related to complexity, informatics, or sensing, with at least six credits dedicated to this component.

Methodological areas supported by the track

  • Complexity: Study of dynamical systems, multi-agent systems, network science, and risk engineering.
  • Informatics: Exploration of artificial intelligence, machine learning, and robotics applications.
  • Sensing: Investigation of Internet of Things (IoT) technologies, smart infrastructure, and wireless communication systems.

Learning and collaboration

  • Students will have the opportunity to collaborate closely with CUSP faculty and peers, engaging in a vibrant academic environment that fosters interdisciplinary research and innovation.
  • Research groups will form around shared interests, encouraging collaboration across different departments and methodological approaches to urban science.

Entry requirements

Admission to the PhD Track in Urban Science is contingent upon enrollment in a qualifying doctoral program at NYU Tandon. There are no specific GRE, GMAT, or GPA minimum thresholds stipulated for this track, making it accessible to a diverse range of applicants.

Career prospects

Graduates of the PhD Track in Urban Science will be well-equipped to pursue careers in academia, research institutions, government agencies, and private sector organizations focused on urban development, smart city initiatives, and data-driven urban planning. The program’s emphasis on interdisciplinary collaboration ensures that students are prepared to tackle complex urban challenges in a rapidly evolving landscape.

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