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M.S. in Civil and Environmental Engineering

Applied Data Science: Infrastructure and Natural Hazards Domain

Design of smart cities requires multidisciplinary approaches to the planning, analysis, design, and health monitoring of infrastructure components like buildings and bridges. The curriculum in this domain challenges students to collect data related to structural system behavior, and master fundamental concepts of data science and computational methods as applied for structural reliability and safety.

The infrastructure and natural hazards domain provides a flexible curriculum with an emphasis on student mentoring and hands-on, practice-based learning. The department has considerable strength in structural health monitoring and the spatial assessment of natural hazards. Students in this domain will:

  • Analyze data to solve key infrastructure and natural hazard problems.
  • Obtain expertise through full-time and part-time options, with in-depth training in one year for full-time students and two to three years for part-time students.
  • Meet leading infrastructure and hazard professionals through seminars, networking opportunities, and capstone projects.


Our curriculum combines academic rigor with small classes in a supportive and engaging learning environment. Students can choose 4 classes focused on infrastructure and natural hazards, including:

  • CEE-106 Structural Dynamics and Earthquake Engineering
  • CEE-189 Remote Sensing
  • CEE-214 Environmental and Water Resources Systems Engineering
  • CEE-247 Geotechnical Earthquake Engineering
  • CEE-294A Structural Health Monitoring
  • CEE-294B Reliability
  • GIS-102 Advanced Geographic Information Systems
  • Conflict Resolution Tools and Techniques (Courses at Tufts Gordon Institute and The Fletcher School of Law and Diplomacy)

Note: These track courses can be replaced with other graduate courses, with the consent of advisor.