学习高级计算、分析和数据科学技术的理论和应用，以便您可以在您选择的环境领域应用 GIS 和其他工具。将数字地理空间、统计和建模工具方面的培训与这些工具应用于 SEAS 及其他专业领域的广泛问题相结合。深入了解卫星遥感，包括物理原理、传感器类型、基于卫星轨道的场景频率、图像分析和分类方法，以及遥感场景和数据集在广泛的环境问题中的应用。规划、设计和执行用于自然资源管理的 GIS 项目，并熟练使用数字地图软件。计划和执行建模分析，包括数据驱动的统计建模和复杂的动态系统建模。课程涵盖四个关键领域：GIS、卫星遥感、统计和建模。 在遥感研究中，结合讲座和实验室场地，您将了解物理原理、传感器类型、图像分析和分类方法以及遥感在环境问题识别和解决中的应用。 在 GIS 实验室中，您将学习如何规划、设计和执行用于自然资源管理的 GIS 项目，并熟练使用绘图软件。

Geospatial Data Sciences

Natural Systems

Social Systems

Statistics

Remote Sensing

Ecology

The Science and Practice of Social Change

GPS and Geospatial Field Technologies

• Transcripts
• Official GRE Score Report

GRE Code: 1839

• Proof of English language proficiency

TOEFL 84

IELTS 6.5

• Resume/CV
• Letters of Recommendation Three letters of recommendation
• Statement of Purpose(500 words)
• Academic statement of purpose(500 words)
• Non-refundable application fee ($90）

Your academic statement of purpose (~500 words) is your opportunity to introduce yourself to faculty and explain how graduate study at SEAS fits into your plans. Faculty members use the statements to understand your education and career objectives, as well as to see how well you write and organize your thoughts. Ideally, your statement should be concise (not more than two double-spaced pages), well-written, and describe your academic and research background, your career and educational objectives, and how a SEAS graduate program will help you meet your goals. Please indicate your planned field of study and the faculty members with whom you wish to work.

Your personal statement (~500 words) should convey how your background and life experiences—including cultural, geographical, financial, educational or other opportunities or challenges—have motivated your decision to pursue a graduate degree at the University of Michigan. In other words, you should describe the personal journey that has led you to apply to SEAS. Please do not repeat your academic statement of purpose.

Fall December 15

地理空间数据科学专业的毕业生成为遥感专家、区域林业工作者、避难所管理者、环境顾问、保护和野生动物信息专家、恢复规划师等。

Ducks Unlimited

ENVIRON

ESRI

Michigan Tech Research Institute

National Oceanic and Atmospheric Administration (NOAA)

Quantum Spatial

The Nature Conservancy (TNC)

United States Bureau of Land Management

United States Forest Service

World Resources Institute