Applied Urban Science and Informatics, MS

Core Requirements (12 credits + lab)

CUSP students take six required core courses and a non-credit lab to form the foundation of their MS in Applied Urban Science and Informatics:

• Lab

• CUSP-GX 7000 Data Governance, Ethics and Privacy (Pass/Fail) 0 Credits

• Urban Data Science Methodologies (All required)

• CUSP-GX 7013 Introduction to Applied Data Science 3 Credits
• CUSP-GX 7023 Applied Data Science 3 Credits
• CUSP-GX 7033 Machine Learning for Cities 3 Credits

• Urban Science and Policy Methodologies (One of the following)

• CUSP-GX 7043 Civic Analytics and Urban Intelligence 3 Credits *

• Or

• CUSP-GX 7053 Innovative City Governance 3 Credits

• *If students should take both CUSP-GX 7043 and CUSP-GX 7053, the latter taken will count as an elective.

Capstone Project (6 Credits)

Capstone Urban Science Intensive series is designed for students to work in a multidisciplinary environment with an agency or industry researcher 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 practitioners- and even entrepreneurs - to unlock the potential in big data to make their city better. Capstones 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. Students are required to consecutively enroll in both courses in their respective final two semesters.

• CUSP-GX 7103 Capstone Urban Science Intensive I 3 Credits
• CUSP-GX 7113 Capstone Urban Science Intensive II 3 Credits

Electives (18 Credits)

Students may customize their education with specialized CUSP electives in data science, domain applications, and civic analytics. Students take 18 credits of elective offerings in the M.S. program. The list below may be updated from time to time.

• CUSP-GX 5053 Geographic Information Systems 3 Credits
• CUSP-GX 8015 Large Scale Data Analysis I 1.5 Credits
• CUSP-GX 8115 Large Scale Data Analysis II 1.5 Credits
• CUSP-GX 8043 Advanced Spatial Analytics 3 Credits
• CUSP-GX 8063 Urban Sensing 3 Credits
• CUSP-GX 8073 Big Data Analytics for Public Policy 3 Credits
• CUSP-GX 8093 Data Visualization 3 Credits
• CUSP-GX 8103 Data Driven Methods for Policy Evaluation 3 Credits
• CUSP-GX 8113 Monitoring Cities 3 Credits
• CUSP-GX 8123 Disaster Risk Analysis and Urban Systems Resilience 3 Credits
• CUSP-GX 900X Guided Studies 1-3 Credits
• CP-GY 9911 Internship for MS I 1.5 Credits
• CP-GY 9921 Internship for MS II 1.5 Credits

Sample Study Plans

The following are examples of the courses sequences students may take:

Sample Study Plan 1

Sample Study Plan 2