Carnegie Mellon University

Overview

The M.Sc. in Climate–Resilient Environmental Systems and Technologies at Carnegie Mellon University equips students with the skills needed to design and assess solutions for climate adaptation and environmental resilience. This interdisciplinary program merges engineering, environmental science, and data-driven approaches to tackle challenges in both natural ecosystems and built infrastructure.

What you'll study

Core learning areas

• Environmental systems and climate adaptation
• Data analytics, modeling, and decision support
• Geospatial methods and sensing for environmental monitoring
• Machine learning applied to climate and environmental datasets

Indicative course components

• Environmental Chemistry
• Water and Environmental Systems Analysis
• Environmental Systems Modeling
• Machine Learning for Environmental Applications
• Data Analytics and Data Management
• Sensing and Environmental Monitoring
• Geographic Information Systems (GIS)
• Decision Analysis and Multiple Criteria Decision Making
• Special Topics: Climate Change Science and Solutions

Capstone / culminating experience

Students will generally undertake a culminating academic requirement, such as a capstone project or thesis, focused on applications in climate resilience and environmental systems. The specific format will depend on the degree plan tailored to the student's intake.

Entry requirements

Admission is primarily based on prior academic preparation and the overall strength of the application. Specific GRE/GMAT and GPA cut-offs are not detailed in the current guidelines.

Career prospects

Graduates of this program can pursue a variety of career paths in sectors such as environmental consultancy, urban planning, climate policy, and sustainability management. The skills developed throughout the course prepare students to address pressing environmental challenges and contribute to innovative solutions in their respective fields.