SRIS MS/PhD Program

This program area focuses on fundamental sciences and engineering principles associated with planning, designing, and managing sustainable and resilient CEE infrastructure systems and their interactions. Application domains are interdisciplinary in nature, which include, but are not limited to: construction management, geotechnical and structural systems engineering, transportation systems analysis, logistics systems design, water system design and operation, natural resource and energy management, environmental engineering, and sustainability-related policies. The student in this program not only acquires a broad range of domain knowledge from the traditional civil and environmental engineering areas, but also learns holistic systems analysis tools such as optimization and decision support, probability and statistics, and environmental and natural resources economics, often by taking advanced courses outside of CEE. Our graduates are especially well-suited for work in government agencies and laboratories, consulting engineering firms and other industry, sustainability advocacy organizations, as well as academic institutions.

Students interested in this program may also want to consider enrolling in the graduate option in Energy and Sustainability Engineering (EaSE).
Course requirements and recommendations are listed below.  Ph.D. students are also required to complete the Interdisciplinary Ph.D. Qualification Procedure in CEE

Required and Recommended Courses

Core Courses

All students are required to take:

  • CEE 595 SRS Sustainable and Resilient Infrastructure Systems seminar (all semesters enrolled in the program)

and highly recommended to take the following courses:

  • CEE 493 Sustainable Design of Energy and Water Systems
  • CEE 491 Decision and Risk Analysis

The following additional courses, categorized by cluster, are also recommended:


  • CEE 498 Pavement Sustainability
  • ESE 482 Challenges of Sustainability
  • ESE 445 Earth Resources Sustainability
  • NRES 426 Renewable Energy Policy
  • UP 460 Land Use & Transportation Policy
  • UP 405 Watershed Ecology & Planning
  • CEE 498UQ Uncertainty Quantification
  • CEE 508 Pavement Rehabilitation


  • IE 410 Stochastic Processes & Applic
  • IE 411 Optimization of Large Systems
  • IE 510 Applied Nonlinear Programming
  • IE 511 Integer Programming
  • STAT 420 Methods of Applied Statistics
  • STAT 525 Computational Statistics
  • CS 412 Intro Data Mining
  • CS 440 Artificial Intelligence
  • CS 446 Machine Learning
  • CS 450 Numerical Analysis
  • CS 598 Machine Learning for Signal Processing
  • ECE 410 Digital Signal Processing
  • ECE 486 Control Systems
  • ECE 490 Introduction to Optimization
  • ECE 515 Control System Theory & Design
  • ECE 534 Random Processes
  • MATH 564/STAT 555 Applied Stochastic Process

Advanced Courses (highly recommended)

Students are encouraged to take at least one advanced course that synthesizes sustainability, resilience, and/or systems methods into CEE infrastructure planning, design, construction, and/or management. This objective can be met through independent study or research (CEE 597 or 599) with an SRIS faculty member or through courses such as the following.

  • CEE 503 Constr Matls Deterioration
  • CEE 504 Infrastructure NDE Methods
  • CEE 508 Pavement Rehabilitation
  • CEE 512 Logistics Systems Analysis
  • CEE 535 Environmental Systems II
  • CEE 552 River Basin Management
  • CEE 572 Earthquake Engineering
  • CEE 574 Probabilistic Load and Design
  • CEE 575 Fracture and Fatigue
  • CEE 598-IR Repair of Civil Infrastructure
  • CEE 598-SCM Sustainable Construction Methods
  • CEE 598-SUS Sustainable Urban Systems
  • CEE 598-TSR Tunneling in Soil and Rock

Elective Courses

A variety of courses are available within CEE and across campus that are related to infrastructure systems and sustainability and can be used to fulfill the remaining required credit hours for the M.S. or Ph.D degrees. Students may select more or other courses in agreement with their adviser.

View a list of elective courses.