Students
مصاريف
تاريخ البدء
وسيلة الدراسة
مدة
15 hours
حقائق البرنامج
تفاصيل البرنامج
درجة
الماجستير
تخصص رئيسي
Geographic Information Systems (Gis) | Geography
التخصص
علوم الكمبيوتر وتكنولوجيا المعلومات | العلوم
لغة الدورة
إنجليزي
عن البرنامج

نظرة عامة على البرنامج


Introduction to the Graduate Certificate in Remote Sensing

The Graduate Certificate in Remote Sensing is supported by the Department of Geosciences and the School of Economic, Political and Policy Sciences. Remote sensing is defined as the art, science, and technology of obtaining reliable information about physical objects and the environment through the process of recording, measuring, and interpreting imagery and digital representation of energy patterns derived from non-contact sensor systems.


Program Overview

Remote sensing is a powerful set of software and hardware, computer-based techniques for extraction and presentation of information represented by raster and vector spatial data acquired via non-contact sensors. It provides reliable and cost-effective means of studying the environment for protection, natural resources management, and urban planning. Government and non-government organizations continuously seek qualified professionals to use remote sensing for a wide range of applications.


Prerequisites and Admission

  • BS or BA Degree
    • Competence in personal computers, especially Windows-based, is expected
  • Application for admission to the Graduate School as "non-degree or degree seeking"
    • Only BS or BA transcripts are needed
    • No GRE score or reference letters are needed for non-degree seeking students

Course Requirements

The Graduate Certificate in Remote Sensing is obtained by completing 15 hours of courses. Students must complete the following courses:


  • GEOS 5325 Remote Sensing Fundamentals
  • GEOS 6381 or GISC 6381 Geographic Information Systems Fundamentals
  • GEOS 5326 or GISC 7365 Remote Sensing Digital Image Processing
  • GEOS 5329 or GISC 7366 Applied Remote Sensing
  • GEOS 7327 or GISC 7367 Remote Sensing Workshop
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