环境al Data Science

Today's environmental problems — think climate change, water quality and availability, 人类健康, forest management and conservation — are increasingly complex and involve vast amounts of data. 环境al Data Science majors can help address these challenges by mastering the methods and developing the tools needed to translate complex data into usable facts and figures. You'll develop analytical, 决策, and data modeling skills that are critical for the job market and for pursing ongoing re搜索 to solve complex problems.

学生 majoring in environmental informatics take core courses in topics such as forest science, 地理空间分析, 环境经济学, and natural resources policy. Additional computation courses in the following areas are also required: business analytics and database technology, 遥感, 系统开发, 编程, 森林摄影测量, 数据科学, 和统计数据.

职业选择

• Ecological forecasting specialist
• Ecosystems services consultant
• 环境al data scientist
• 环境工程师 
• 环境建模
• 制图技术
• 地理空间分析
• GIS数据工程师
• Machine-learning engineer 
• 可持续性分析
• 软件工程师
• 技术顾问