Professional MS degree in Environmental Observation and Informatics – Wisconsin

University of Wisconsin - Madison
Madison, Wisconsin
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The Environmental Observation and Informatics (EOI) professional master's integrates cross-cutting Earth observation, technologies, and big data analytics. The 15-month program combines hands-on, in-person training with distance learning. This program will help you build on your existing quantitative and GIS skills to acquire technical expertise that advances your career in environmental sciences. In addition, you will gain specialized training to meet current job demand calling for the integration of emerging technologies and big data. The EOI program has been built to help individuals develop the expertise that the market demands, focusing specifically on three pillars: 1. Remote sensing and integrated technology: Learn to select and apply the most appropriate and powerful platforms and technologies - including LiDAR, unmanned aerial vehicle (UAV) systems, cloud and social media, and crowd-sourced data - to address today's most pressing environmental challenges. 2. Modeling and analysis: Construct scenarios of environmental phenomena to better understand natural processes and human actions, to predict and project future outcomes, and to conduct robust statistical analyses with distributed data to identify trends and inform management and policy decisions. 3. Innovative leadership: Drive strategic thinking to design and manage the use of observation technologies to advance policy, program direction, and executive decisions. Graduates of the EOI program will have a Master's of Science degree in Environmental Conservation with a named option in Environmental Observation and Informatics.
The EOI professional master's option is designed for early- to mid-career professionals worldwide who wish to advance to positions of project or program manager, senior analyst, or similar rank. Ideal candidates for our program will have approximately two to five years of professional work and/or field experience in GIS, geospatial technologies, and remote sensing. Candidates with diverse professional and academic backgrounds are also encouraged to apply. Applicants will be expected to show proficiencies in quantitative/analytical skills (through GRE) and in GIS, demonstrated through coursework, professional experience, portfolio, or a GIS certificate/degree. Applicants must have received a bachelor's degree from an accredited four-year institution with an undergraduate GPA of 3.0 or higher. Applicants with GPAs below 3.0 may be considered for admissions under special circumstances. For more information about how to apply, see the program website.
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Sarah Graves
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