Environmental Engineering Science (Non-Thesis)

A graduate degree in Environmental Engineering Science prepares you to analyze complex environmental systems and apply scientific, computational and data-driven approaches to environmental challenges tied to water, climate, ecosystems, energy and public health. At Colorado School of Mines, Environmental Engineering Science emphasizes environmental processes, systems modeling, geospatial analysis, environmental chemistry and quantitative decision-making rather than traditional infrastructure design.

At the graduate level, you develop advanced capabilities in environmental data analysis, contaminant transport, watershed and ecosystem modeling, sustainability systems, environmental monitoring and risk assessment. Mines’ interdisciplinary approach and strong ties to industry, government and research organizations prepare graduates for analytical, research and strategy-focused careers across environmental and climate-related fields.

Environmental Engineering Science is rapidly evolving as environmental systems become more connected to data science, AI, advanced sensing and climate resilience technologies. Key advances include:

• Digital twins and AI-enabled environmental modeling for watersheds, cities and ecosystems
• Real-time environmental monitoring using IoT sensors, satellite systems and geospatial analytics
• PFAS and emerging contaminant detection, transport modeling and remediation
• Microplastics and nanoplastics research focused on ecosystem and human health impacts
• Environmental nanotechnology for advanced filtration, desalination and contaminant sensing
• Bioremediation and synthetic biology approaches that use engineered microbes to degrade pollutants
• Nature-based solutions such as wetlands, urban forests and ecosystem restoration for climate resilience
• Carbon capture, enhanced weathering and biochar systems for long-term carbon management
• Advanced oxidation processes for treatment of highly resistant contaminants in water systems

Mines emphasizes this interdisciplinary and computational direction through the integration of environmental science, engineering systems, earth science and data analytics.

Graduates pursue analytical, scientific and systems-focused roles that support environmental decision-making, sustainability and climate resilience, including:

• Environmental data scientist or GIS analyst
• Water resources and watershed analyst
• Sustainability and ESG strategist
• Environmental consultant or remediation scientist
• Climate risk and resilience analyst
• Ecotoxicologist or environmental chemist
• Environmental modeling specialist
• Regulatory and environmental policy analyst
• Research scientist in environmental systems and sustainability
• Geospatial or remote sensing analyst

These roles often combine environmental science, computation, modeling and data interpretation to solve complex environmental challenges.

Graduates in Environmental Engineering Science work across industries where environmental systems analysis, sustainability and climate resilience are increasingly important, including:

• Environmental and engineering consulting firms
• Renewable energy and climate technology companies
• Environmental analytics and geospatial software firms
• Water resource and ecosystem management organizations
• Government agencies and regulatory organizations
• National laboratories and research institutions
• Sustainability and ESG divisions within major corporations
• Environmental technology and monitoring companies

Employers range from environmental consultancies and climate-tech startups to organizations such as the EPA, USGS, Esri and major sustainability-focused technology companies.

Current research in Environmental Engineering Science focuses on understanding and modeling environmental systems under real-world pressures tied to climate change, industrial activity, water scarcity and ecosystem disruption. Key research areas include:

• PFAS and emerging contaminant fate and transport
• Microplastics and nanoplastics ecotoxicology
• Watershed and groundwater modeling
• Nature-based solutions and ecosystem resilience
• Environmental chemistry and contaminant transformation
• Climate systems and sustainability analysis
• Advanced oxidation processes for water treatment
• Carbon management and negative emissions technologies
• Environmental sensing and geospatial monitoring
• AI-enabled environmental prediction and decision support