2022-2023 Undergraduate and Graduate Bulletin (with addenda) 
    
    Apr 20, 2024  
2022-2023 Undergraduate and Graduate Bulletin (with addenda)

Applied Urban Science and Informatics, MS


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The MS 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 36-credit program provides core courses in urban science, urban informatics, and information and communication technology. Students will have the opportunity to select from multiple urban science and informatics disciplines to gain breadth and depth in the application of urban challenges.

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:

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.

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.

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.

Sample Study Plans


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

Sample Study Plan 1

Fall Semester 1 Credits Spring Semester 1 Credits
CUSP-GX 7000 Data Governance, Ethics and Privacy  (core course) 0 CUSP-GX 7023 Applied Data Science  (core course) 3
CUSP-GX 7013 Introduction to Applied Data Science  (core course) 3 CUSP-GX 7033 Machine Learning for Cities  (core course) 3
CUSP-GX 7043 Civic Analytics and Urban Intelligence  or CUSP-GX 7053 Innovative City Governance  (core course) 3 Elective Course 3
Elective Course 3    
Fall Semester 2 Credits Spring Semester 2 Credits
CUSP-GX 7103 Capstone Urban Science Intensive I   3 CUSP-GX 7113 Capstone Urban Science Intensive II   3
Elective Course 3 Elective Course 3
Elective Course 3 Elective Course 3

Sample Study Plan 2

Fall Semester 1 Credits Spring Semester 1 Credits
CUSP-GX 7000 Data Governance, Ethics and Privacy  (core course) 0 CUSP-GX 7023 Applied Data Science  (core course) 3
CUSP-GX 7013 Introduction to Applied Data Science  (core course) 3 CUSP-GX 7033 Machine Learning for Cities  (core course) 3
CUSP-GX 7043 Civic Analytics and Urban Intelligence  or CUSP-GX 7053 Innovative City Governance  (core course) 3 Elective Course 3
Elective Course 3 Elective Course 3
Summer Semester 1 Credits    
CP-GY 9911 Internship for MS I  or Independent Study or Elective Course  1.5    
Fall Semester 2 Credits Spring Semester 2 Credits
CUSP-GX 7103 Capstone Urban Science Intensive I   3 CUSP-GX 7113 Capstone Urban Science Intensive II   3
Elective Course 3 CP-GY 9921 Internship for MS II  or Independent Study or Elective Course 1.5
Elective Course 3    

 

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