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The ESF Employee Directory was moved to improve information security for campus contact information. You can now reach the directory through your Faculty/Staff or MyESF student portal.

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Programs and Courses Geospatial Information Science and Engineering (GIScE)

Graduate Programs of Study

The GIScE program offered by the Department of Environmental Resources Engineering provides M.S. and Ph.D. degrees. For more information visit our department’s study areas within the ESF Catalog (scroll down to find the GIScE program). Here are some general guidelines for coursework depending on the program you enter:

  • M.S. candidates
    • Departmental policy: at least 24 credits of graduate courses and at least 6 credits of thesis
    • At least 9 credits of courses within the department
    • At least 3 credits of courses from outside the department
  • Ph.D. candidates
    • Departmental policy: at least 30 credits of graduate courses and a maximum of 30 credits for dissertation
    • At least 12 credits of courses within the department
    • At least 6 credits of courses from outside the department

Pre- or Co-Requisite Courses

Pre- or co-requisite courses include calculus, physics, probability and statistics, and programming. These courses are typically taken prior to enrolling in the graduate program, but there are cases when some are taken concurrently with your graduate degree.  However, introductory courses in these areas do not typically count towards graduate credit.

GIScE Courses taught by the ERE Department

Additional Geospatial Courses

Mathematics and Statistics Courses

  • APM 595: Probability and Statistics (3cr)
  • APM 620: Experimental Design and ANOVA* (3cr)
  • APM 625: Sampling Methods* (3cr)
  • APM 630: Regression Analysis* (3cr)
  • APM 635: Multivariate Statistical Methods* (3cr)
  • APM 645: Nonparametric Statistics and Categorical Analysis* (3cr)
  • APM 671 Map Accuracy Assessment (1cr)

Additional Computing Courses

  • IST 459: Introduction to Database Management Systems** (3cr)
  • CIS 798: Data Mining** (3cr)

(*) denotes ESF courses offered outside the ERE department
(**) denotes courses available at Syracuse University

Depending on interest, students may select mathematical and computing courses. The above list is only a guide, students will work with their advisor to create an individualized program of study.

For additional information on publications, research and teaching activities please visit the corresponding faculty webpage (Dr. Mountrakis, Dr. Quackenbush, Dr. Salehi.)

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GIScE Links