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Urban Informatics Center for Urban Science + Progress NYC'S LEADING GRADUATE PROGRAM IN URBAN INFORMATICS FULL-TIME MS • PART-TIME MS ADVANCED CERTIFICATE YOUR CITY. YOUR LAB. YOUR DATA REVOLUTION. OUR LABORATORY IS NEW YORK CITY. OUR MISSION IS HISTORIC. The Center for Urban Science and Progress With NYC as its laboratory and classroom, (CUSP) was created as a historic partnership New York University's CUSP uses advances with NYU, the City of New York, and other in data creation, storage, and analytics to academic and industrial partners to make investigate and answer such questions. These cities around the world more efficient, livable, activities are making NYU CUSP the world’s equitable, and resilient. By 2050, 66 percent leading authority in the emerging field of of the world’s population is projected to live urban informatics. in urban areas. How can rapidly growing cities CUSP’s impact-driven research and provide a high quality of life to citizens of educational programs examine complex every socioeconomic status? How will they urban issues and contribute practical effectively and efficiently deliver services, solutions for challenges facing New York address resource allocation, and increase City and growing cities worldwide. citizens’ access to green space? 1 • NYU TANDON SCHOOL OF ENGINEERING GRADUATE PROGRAMS AT NYU CUSP AN INTENSIVE ACADEMIC EXPERIENCE Graduate programs at NYU CUSP offer through internships and practicums that a unique, interdisciplinary, and cutting-edge enable students to be successful in a wide approach that links data science, statistics range of career trajectories. and analytics, and mathematics with complex Our rigorous programs are designed to urban systems, urban management, and prepare you for a rewarding and fulfilling policy. Our programs expose students to career in urban informatics, developing the inner workings of city agencies and the technical and problem-solving skills to create opportunities to challenge themselves effectively use data for social good. Students through immersive, hands-on data projects. are immersed in every aspect of this exciting, The curriculum emphasizes developing multidisciplinary field, both in the classroom necessary technical skills and critical and through hands-on learning opportunities problem-solving frameworks. We also in research, internships, and interactions with provide research opportunities and faculty and NYU CUSP industry partners. real-world experiences APPLIED URBAN SCIENCE AND INFORMATICS MASTER OF SCIENCE ADVANCED CERTIFICATE 30 Credits • 1 Year Full Time • 12 Credits • 1 Year Part Time 2 Years Part Time The Advanced Certificate program is The MS in Applied Urban Science and designed for students who wish to Informatics program will provide you complement previous graduate studies with the ability to use large-scale data with applied work in urban informatics, from a variety of sources to understand or those with a bachelor’s degree and and address real-world challenges in the work experience who want to enhance urban context. The program provides core their capabilities in urban informatics. courses in urban science, urban informatics, The 12-credit program, completed over and information and communication three semesters, enables students technology in cities. You will have the interested in focusing on the structure opportunity to select from multiple urban and development of large-scale quantitative domains and informatics disciplines to gain data from diverse sources to understand breadth and depth in the application of big urban problems and their solutions, data analytics to urban problems. particularly in operational contexts. CENTER FOR URBAN SCIENCE + PROGRESS • 2 MASTER OF SCIENCE IN APPLIED URBAN SCIENCE AND INFORMATICS FLEXIBLE PROGRAMS OF STUDY NYU CUSP offers the option to complete the 30-credit MS on a full-time or part-time schedule: One Year Full Time Two Years Part Time Ideal for students seeking immersion in a research– Allows working professionals to maintain their and project-intensive environment, in order to employment while attending the graduate program complete their MS degree in an accelerated time on a part-time basis. The curriculum and elective frame. From August to July, students learn from offerings are the same as the full-time program and world-class faculty and researchers, and build a are offered in the evening. supportive network. THE CORE CURRICULUM Students develop their curriculum by building upon core courses with electives, applied project intensives, and global immersion offerings. All students complete the following core requirements: Urban Science Core Informatics Core The Urban Science Core provides students with The Informatics Core prepares students with a foundational understanding of the theories of computational skills to work with large-scale urban form and function, and the application of data from a variety of sources, to understand data-driven approaches to urban challenges. The and address real-world challenges in the urban Urban Science Core gives students a foundation context. Students learn the fundamentals of data in the extensive social science literature and science and computer science applications such research on the study of cities. as databases and data management, data mining, visualization, programming, clustering algorithms, Civic Analytics and Urban Intelligence fulfills this naïve Bayes, and regression models. requirement. Courses include Applied Data Science and Principles of Urban Informatics. ELECTIVE OPTIONS CUSP offers you the opportunity to customize your MS program around the skills you want to develop and your professional interests and strengths: Civic Analytics Urban Informatics Students who have an interest in civic analytics Students who have an interest in urban informatics to inform urban operations and policy decisions and want intensive training in data science as can develop skills needed for data-driven applied to cities can develop technical capabilities decision-making in order to develop and required for big data informatics. implement analytics projects in city agencies Electives include Machine Learning for Cities or other organizations. and Urban Big Data & Management. Electives include Urban Decision Models. Please note this program is also offered as a 12-credit Advanced Certificate. 3 • NYU TANDON SCHOOL OF ENGINEERING SAMPLE CURRICULUM One Year Full Time PRE-FALL FALL SPRING SUMMER 0 CREDITS 12 CREDITS 12 CREDITS 6 CREDITS Principles of Urban OrientationCity Challenge Week Capstone I Capstone II Week Informatics Civic Analytics and Elective Elective Urban Intelligence Applied Data Science Elective Urban Spatial Analytics Elective Urban Decision Models Data Governance, Ethics and Privacy Two Years Part Time PRE-FALL FALL SPRING SUMMER 0 CREDITS 6 CREDITS 6 CREDITS 3 CREDITS Principles of Urban OrientationCity Challenge Week Elective Elective Informatics Week Civic Analytics and Elective Urban Intelligence YEAR 1 Data Governance, Ethics and Privacy Applied Data Science Capstone I Capstone II Urban Spatial Analytics YEAR 2 Elective Urban Decision Models ORIENTATION CORE REQUIREMENTS LAB ELECTIVE CENTER FOR URBAN SCIENCE + PROGRESS • 4 STUDENT IMMERSIONS IN URBAN SCIENCE ORIENTATION WEEK GLOBAL DATA DIVES Orientation Week is the start of the MS As part of the co-curricular education at in Applied Urban Science and Informatics NYU CUSP, students have the opportunity program. The intensive, week-long program to participate in the Spring Break Data Dive, includes a number of speakers, workshops, in which students travel to London to work academic boot camps, and events that on actual urban challenges using the analytics introduce students to CUSP, the field of urban skills developed in the program. The host city informatics, and NYU resources. provides their data sets and a specific urban problem; students bring their expertise to Working in teams, students are also offer proposals using informatics techniques. challenged to address a significant, persistent urban problem by developing an analytical The Data Dive targets the global perspective framework to model and understand the on urban skills needed to link data science problem, identifying data sources and needs, with the public good in a range of political, and presenting a potential analytic solution social, and economic contexts. and implementation strategy. NYU CUSP students share their findings and solutions to the entire cohort at the end of the week. Mitchell Giurgola ©Albert Vecerka / Esto 5 • NYU TANDON SCHOOL OF ENGINEERING CAPSTONE PROJECTS APPLIED URBAN SCIENCE The Capstone Program is a six-month applied GROUP urban analytics project that partners CUSP The Applied Urban Science Group (AUSG) graduate student teams lead by a faculty is an association of NYU CUSP graduate advisor with a public sector, private sector, students and alumni who are committed or academic organization that is looking to to advancing the fields of urban science, address a critical urban issue or problem. data-driven city management, and urban Capstone projects approach real-world analytics. The AUSG regularly hosts challenges through problem identification cutting-edge debates on urban science and scoping, data collection, and applying and analytics—featuring leading speakers data analytics and visualization techniques. from tech firms, chief data officers, and Student teams use a combination of technical city leaders—for a dialogue on high-impact data analytics, visualization, and machine ways to improve cities through
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