University of Minnesota
Master of Geographic Information Science
mcmas002@umn.edu
612-625-6080


Master of Geographic Information Science

Master of Geographic Information Science

Michael Plante

“Given the flexibility of the program, I strongly recommend it to working professionals, as well as those seeking a traditional full-time master’s program.”

Michael Plante
MGIS 2003, Senior Hydrogeologist, Leggette, Brashears & Graham, Inc.

The Master of Geographic Information Science (MGIS) program is a unique professional masters degree associated with the Geography Department at the University of Minnesota, a top-ranked department in the United States with a strong tradition in cartography and GIS. The MGIS program is also affiliated with other academic units including Forest Resources, Computer Science, the Center for Urban and Regional Affairs (CURA), and Soil, Water and Climate.

The MGIS program provides a comprehensive GIS degree that balances theoretical, technical, applied and societal dimensions of GIS.  Our program prides itself on providing a top-quality program accessible to a wide range of student interests and profiles. We offer:

  • A broad, professionally-based curriculum
  • Internationally-recognized faculty
  • Hands-on training from leading GIS professionals
  • A diverse and active student body
  • State-of-the-art facilities and resources
  • An exciting metropolitan location with access to employers and internships
  • Flexible scheduling options, including courses offered in late-afternoons and evenings to accommodate students who work full-time.

Earning your MGIS degree from the University of Minnesota will benefit your career and give you the opportunity to make a real difference in your chosen field. Whether you use your GIS knowledge to empower communities, plan urban transportation systems, chart evacuation paths, help the environment, increase market share, or pioneer new software applications, as a University of Minnesota MGIS graduate, you will always be in the company of your field's brightest minds and top achievers.


MGIS News

  • Vipin Kumar delivers the eighth annual Borchert Lecture as part of the UMN Spatial Forum

    kumar_photo.jpgDr. Vipin Kumar, William Norris Professor and Head of the Computer Science and Engineering Department at the University of Minnesota, gave the eighth annual Borchert Lecture, which honors the late John Borchert, University of Minnesota Regents Professor in Geography and member of the U.S. National Academy of Science. David Borchert, one of Dr. Borchert's sons, attended the event named in honor of his father. This annual lecture features notable speakers in the area of geographic information science and this year was part of the campus-wide Spatial Forum and GIS Day celebration. Dr. Kumar's current research interests include data mining, high-performance computing, and their applications in Climate/Ecosystems and Biomedical domains. He is the Lead PI of a 5-year, $10 Million project, "Understanding Climate Change - A Data Driven Approach", funded by the NSF's Expeditions in Computing program that is aimed at pushing the boundaries of computer science research. He has authored over 300 research articles, and co-edited or coauthored 10 books including the widely used text book "Introduction to Parallel Computing", and "Introduction to Data Mining" both published by Addison-Wesley. Dr. Kumar's presentation, Understanding Global Change: Opportunities and Challenges for Data Driven Research, was well-attended and many excellent questions were asked by the audience. The climate and earth sciences have recently undergone a rapid transformation from a data-poor to a data-rich environment. In particular, climate and ecosystem related observations from remote sensors on satellites, as well as outputs of climate or earth system models from large-scale computational platforms, provide terabytes of temporal, spatial and spatio-temporal data. These information-rich datasets offer huge potential for monitoring, understanding, and predicting the behavior of the Earth's ecosystem and for advancing the science of global change. This talk highlighted some of the challenges in analyzing such data sets and reported on early research results.

    October 10th, 2014

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