The Applied Urban Science and Informatics programme at New York University (NYU) trains students to use data science, machine learning, and urban sensing to understand and improve city systems. Through hands-on projects in an urban “living laboratory,” you’ll learn how to turn data into evidence-based policy and practical technology solutions.
The Applied Urban Science and Informatics program at New York University (NYU) equips students with the skills to leverage data science, machine learning, and urban sensing to analyze and enhance urban systems. Through practical projects in a dynamic urban environment, students learn how to transform data into actionable insights for evidence-based policy-making and technological innovations.
Credit requirement: 36 credits total.
This Master's program encompasses core areas such as applied data science, machine learning tailored for urban contexts, urban policy methodologies, and ethical considerations in data usage.
Experiential learning: The program emphasizes hands-on workshops and project-based experiences, including collaborative hackathons and multidisciplinary teamwork opportunities throughout the academic year.
Graduates of the Applied Urban Science and Informatics program are well-equipped to pursue careers in various sectors, including urban planning, public policy, data analytics, and technology development. With a strong foundation in data-driven decision-making, graduates can contribute significantly to improving urban environments and addressing complex urban challenges.
Work Permits: After completing the degree, graduates may have the opportunity to work in the country where they studied, subject to immigration regulations. For example, international students on an F-1 visa in the United States may qualify for Optional Practical Training (OPT) upon graduation, generally allowing for a period of work experience in their field of study.
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