WE ARE URBAN!
NEW BS & MS 4 + 1 PROGRAM

Earn your BS in Sustainable Urban Environments & MS in Applied Urban Science and Progress in just 5 years!

The new 4 + 1 program is a joint partnership with NYU Tandon School of Engineering’s Bachelor of Science in Sustainable Urban Environments and NYU CUSP’s Master of Science in Applied Urban Science and Informatics.

BS in Sustainable Urban Environments

Cities play a critical role in addressing the environmental challenges that face the world today. The major in Sustainable Urban Environments prepares students to make cities more sustainable.  Students gain an understanding of the social and technical issues in urban environmental problems, and an appreciation of the policy and planning approaches that are necessary to create more livable, sustainable, and equitable cities. Multidisciplinary courses emphasize project-based learning, using New York City as an urban laboratory, and also examining sustainable cities in a global context.

Directed studies and capstone projects provide students with essential experience in conducting and presenting research at public forums within the School of Engineering. By the program’s end, our graduates are prepared to enter various environmental fields, including urban planning and design. They also partake in opportunities in social work, government, education, and museums.

For more information on the Bachelor of Science in Sustainable Urban Environments offered by the NYU Tandon School of Engineering, please click here.

MS in Applied Urban Science and Informatics

At NYU’s Center for Urban Science and Progress (CUSP), you will engage in interdisciplinary research dedicated to the application of science, technology, engineering, and mathematics to serve urban communities across the globe. Our students innovate data–and technology-driven solutions to improve city services, create smart infrastructures, and tackle issues such as crime and environmental pollution.

Our rigorous programs are designed to prepare you for a rewarding career in urban informatics, developing the technical and problem-solving skills to use data for social good. You will be immersed in every aspect of this exciting, multidisciplinary field, both in the classroom and through hands-on learning opportunities in research, internships, and interactions with our world-class faculty and NYU CUSP industry partners.

The Master of Science program offers a unique, cutting-edge approach that links data science, statistics and analytics, and mathematics with complex urban systems, urban management, and policy. Students tailor the curriculum to their goals by building upon core courses with electives, applied project intensives, internships, and global immersion offerings. The experiential learning focus of the program is the six-credit, two-semester capstone program that enables the pursuit of applied or professional research and practical application of skills in real-world projects.

For more information on the Master of Science in Applied Urban Science and Informatics, offered by NYU’s Center for Urban Science and Progress, please click here.

The 4 + 1 Curriculum

Undergraduate SUE students apply to CUSP at the beginning of their third year, and complete the MS program in their 4th and 5th years.

The MS in Applied Urban Science and Informatics has 30 credits: 18 core credits and 12 elective credits.

To cover the 18 core credits, students will need to take 6 mandatory courses (3 credits each):

  • Principles of Urban Informatics
  • Innovative City Governance
  • Applied Data Science
  • Machine Learning for Cities
  • Urban Science Intensive I
  • Urban Science Intensive II
  • Pick 1 of 3 (other courses in this list may be taken as electives): Civic Analytics and Urban Intelligence OR Urban Decision Models OR Urban Spatial Analytics

To cover the 12 elective credits, students will need to take at least 2 courses (3 credits each) from this shortlist of CUSP elective courses:

  • Civic Analytics and Urban Intelligence 
  • Urban Decision Models
  • Urban Spatial Analytics
  • Data Visualization
  • Machine Learning for Cities
  • Introduction to Programming for Solving Urban Challenges

For course descriptions and syllabi, please click here.

Application Requirements

Interested SUE undergraduate students should discuss this opportunity with their academic advisors prior to their senior year. Students will apply to CUSP at the beginning of their third year, and complete the MS program in their 4th and 5th years.

For CUSP’s full application requirements, please click here.