Carnegie Mellon University

Modern society depends on systems of civil infrastructure: buildings; water treatment, storage and distribution facilities; transportation networks; energy production and distribution systems; and information and communication networks. Each of these infrastructure systems is large and complex with intricate interactions among their elements and subsystems. Furthermore, the infrastructure systems are interdependent—consider the impact of electricity disruptions on water supply—and they effectively depend on and have profound effects on the natural environment.

Planning, designing and managing civil and environmental systems in light of these complexities and future uncertainty, especially due to climate change, requires the use of sophisticated analytical tools, including recent advances in smart system technology. In addition, effective analysis and decision making support require economic and policy analysis. Systems engineering harnesses these methods to create an integrated understanding of and superior solutions for these challenging problems.

The Civil and Environmental Systems Engineering MS degree program develops an in-depth understanding of the core methods and their applications with a focus on one or several domains. It is recommended that students take courses on methods (such as economics, data mining and optimization) and technologies (such as smart cities), as well as domain specific courses (such as intelligent transportation systems, smart buildings, water resource systems, environmental systems, smart sensing, climate change adaptation, sustainability).


The following courses are recommended for this concentration, but our MS program is flexible and you should work with your academic advisors to tailor coursework towards your individual interests and career goals.

  • 12-704 Probability and Estimation Methods for Engineering Systems

  • 12-706 Civil Systems Investment Planning and Pricing

  • 12-709 Data Analytics for Engineered Systems

  • 12-735 Urban Systems Modeling

  • 12-768 Decision Analytics for Business and Policy

Visit the HUB for a full listing of available courses and their descriptions.

The following interdisciplinary courses relate to this concentration and may be of interest for additional course work, depending on your academic and career goals.

  • 12-645 Smart Cities: Growth and Intelligent Transportation Systems

  • 12-657 Water Resource Systems Engineering

  • 12-714 Environmental Life Cycle Assessment

  • 12-726 Mathematica Modeling of Environmental Quality Systems

  • 12-740 Data Acquisition

  • 12-741 Data Management

  • 12-746 Fundamental Python Prototyping for Infrastructure Systems

  • 12-749 Climate Change Adaptation

  • 12-750 Infrastructure Management

  • 12-766 Climate Change Science and Solutions

  • 12-780 Advanced Python and Web Prototyping for Infrastructure Systems

  • 12-783 Geographic Information Systems

  • 12-791 Sensing and Data Mining for Smart Structures and Systems

  • 24-785 Engineering Optimization

  • 39-611 Energy Demand and Utilization

  • 90-789 Resilient and Sustainable Communities

  • 95-760 Decision Making Under Uncertainty

  • 95-791 Data Mining

Visit the HUB for a full listing of available courses and their descriptions.

Ready to Apply?

All applications are submitted online through the CMU College of Engineering. For application information, visit our Admissions Information page.