Applied Urban Science and Informatics, M.S.

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.

CUSP-GX 1007 Data Governance, Ethics and Privacy (0 Credit Lab) 0 Credits
CUSP-GX 5002 Principles of Urban Informatics 3 Credits
CUSP-GX 6001 Applied Data Science 3 Credits
CUSP-GX 7003 Civic Analytics and Urban Intelligence 3 Credits
And one of the following three courses:
CUSP-GX 5009 Innovative City Governance 3 Credits
OR
CUSP-GX 7002 Urban Spatial Analytics 3 Credits
OR
CUSP-GX 7004 Urban Decision Models 3 Credits

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.

CUSP-GX 2505 Big Data Analytics for Public Policy 3 Credits
CUSP-GX 4147/4148 Large Scale Data Analysis I/II (1.5 credits each; 3 credits total) 3 Credits
CUSP-GX 5003 Machine Learning for Cities 3 Credits
CUSP-GX 6002 Big Data Management & Analysis 3 Credits
CUSP-GX 6005 Monitoring Cities 3 Credits
CUSP-GX 6006 Data Visualization 3 Credits
CUSP-GX 6009 Advanced Spatial Analytics 3 Credits
CUSP-GX 7009 Urban Sensing 3 Credits
CUSP-GX 8005 Data Driven Methods for Policy Evaluation 3 Credits
CUSP-GX 8006 Disaster Risk Analysis and Urban Systems Resilience 3 Credits
CUSP-GX 9001 Independent Study 1-3 Credits

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.

CUSP-GX 5005 Urban Science Intensive I 3 Credits
CUSP-GX 5006 Urban Science Intensive II 3 Credits