2020-2022 Undergraduate and Graduate Bulletin (with addenda) 
    
    Mar 28, 2024  
2020-2022 Undergraduate and Graduate Bulletin (with addenda) [ARCHIVED CATALOG]

Applied Urban Science and Informatics, M.S.


Return to {$returnto_text} Return to: Academic Department, Degree and Program Information

The M.S. in Applied Urban Science and Informatics will provide students with the opportunity to engage in the interdisciplinary study of urban science and informatics and to apply their technical skills to urban problems. The 30-credit program provides core courses in urban science, urban informatics, and information and communication technology in cities. You will have the opportunity to select from multiple urban domains and informatics disciplines to gain breadth and depth in the application of big data analytics to urban problems.

Core Requirements (12 credits + lab)


Students will take 12 credits of required core courses and a non-credit lab to form the foundation of their Master of Science in Applied Urban Science and Informatics.

Electives (12 Credits)


Students may customize their education with specialized CUSP electives in data science, domain applications, and civic analytics. Students take 4 elective offerings (12 credits) in the M.S. program. The list below may be updated from time to time.

Additional Elective Options


Students may take up to 6 credits of non-CUSP data science or domain application electives from other schools across NYU, including but not limited to the Courant Institute of Mathematical Sciences, Stern School of Business, Wagner School of Public Service, and Tisch School of the Arts.

Capstone Project (6 Credits)


During the 6 credit, two course Capstone Project, students will work in a multidisciplinary environment with a city agency or industry partner to address a current urban challenge in a particular domain, such as transit, public health, or environmental sustainability. Students will play an important role in the project, working with other researchers - and even entrepreneurs - to unlock the potential in big data to make their city better.

Capstone projects may be part of larger, ongoing NYU-CUSP research efforts involving city agencies and NYU‑CUSP industry partners, self-contained projects involving agencies and industry partners, or more entrepreneurial in focus and content, where a team of students will work on developing a new solution derived from their analysis.

Return to {$returnto_text} Return to: Academic Department, Degree and Program Information