The average person might not connect the rising crime rate in their neighborhood with broken street lamps and the slower response times of emergency units, or even how long it takes a traffic signal to turn green — but those versed in infrastructure management would. They could explain how a well-lit avenue deters crime and how traffic signals coordinated with emergency vehicle routes can shorten response times.
That’s the definition of infrastructure management: the discrete components of our urban systems brought together to create a well-functioning metropolis. Our MS program in Urban Systems Engineering and Management will help engineering and non-engineering professionals alike understand and manage major urban infrastructure systems.
Developed as part of the Institute for Civil Infrastructure Systems (ICIS), a consortium effort led by New York University, and supported by the National Science Foundation, our program shows how the technical aspects of infrastructure management are informed by their sociopolitical contexts. Issues of public policy, finance, monitoring, and maintenance are studied and brought to bear on urban infrastructures. This gives our students a holistic look at the development of cities and how they function.
Goals and Objectives
Our program aims to give you:
- A broad understanding of infrastructure management and policy issues;
- Analytical and decision-making skills for reviewing the political, economic, and social impacts of infrastructure technologies;
- A wide overview of a spectrum of urban infrastructure systems, as well as an integrated knowledge of the interactions and interdependencies of those systems; and
- Specialized management skills and techniques that you can apply to the unique challenges introduced by the infrastructure sector.
This program is open to professionals with BS or BA degrees and backgrounds in engineering, science, public policy, management, economics, and/or finance. Necessary mathematics background, usually including undergraduate calculus, is required, as is an undergraduate GPA of 3.0 or better.
All applicants for this MS program must additionally show evidence of general quantitative analytic ability, including a minimum of 2 years of college mathematics and a college-level course in statistics.