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MBA with GIS Option

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GIS Option

The Geographic Information Systems (GIS) Option is designed to support careers using computer systems to capture, store, manipulate, analyze, manage and present spatial or geographical data in a variety of fields including management, logistics, insurance, and telecommunications.  Find out more about GIS at EIU and GIS from a business perspective as presented by one of our MBA alumna. 

In addition to the MBA Core, the required courses in the GIS Option are: 

Course Course Descriptions and Prerequisite(s)

MBA 5010, Accounting from a Management Perspective

Effective uses of accounting information in managerial decision-making. Applications include tasks both internal (managerial) and external (financial) to the organization.  Prerequisites: BUS 2101, Financial Accounting; BUS 2102, Managerial Accounting and Admission to MBA degree program

MBA 5900, Management Simulation

Capstone course of the M.B.A. program requiring integration of knowledge and skills for business problem solving. Utilizes a nationally recognized simulation widely used in university programs and in industry. This course focuses on functions of top management, major issues affecting organizational success, decisions determining direction of the enterprise, and ethical and social responsibility implications of strategic decisions.  Prereqs: Admission to the MBA program and completion of at least 15 hours of MBA coursework, including MBA 5010 or 3 hours of ACC 5000 or higher, MBA 5640 and MBA 5660

GEO 5810: Introduction to Geographic Information Science (Online, Fall 2017 with Dr. Barry Kronenfeld)

A graduate-level introduction to Geographic Information Systems (GIS) and Science (GIScience) emphasizing broad software competency, foundations of spatial information theory, project design and management, and awareness of current trends in GIS research & technology. Hands-on labs will focus on conceptual understanding of how spatial entities and processes are modeled in a GIS environment, and will expose students to both commercial and open source GIS. In addition, students will learn how to identify relevant literature and case studies, plan and develop a project to meet a functional GIS analysis objective, and prepare high-quality written and cartographic output for presentation within the broader GIS community. This course is intended for graduate-level students who have not taken undergraduate GIS coursework.  Prereq: None

GEG 5820: Remote Sensing

GIS 5870D-600: Special Topics in GIS: Remote Sensing (Online, Fall 2017 with Dr. Dave Viertel)

An in-depth study of the physical principles and common applications of remote sensing. All steps in the process, including image acquisition, correction, enhancement, classification, and analysis, will be examined. A focus will be placed on directing these skills to research applications in the student’s home discipline. Additional readings and discussion from the literature will be expected of graduate students. Laboratory exercises will feature a variety of applied examples drawn from biology, geography, geology, atmospheric sciences, and human impacts/planning. Prereq: None

Choose one of the electives (others may be made available):

GEG 5830: GIS: Building Geodatabases

 

GEG 4910: GIS Programming

GEO 5880: Geospatial Data Models (Online, Fall 2017 with Dr. Barry Kronenfeld)

GEG 5830: This course covers the fundamental concepts of building geographic databases and focuses on the storage, management, and quality control of GIS data. Students will learn how to create Esri Geodatabases, how to migrate existing data to a geodatabase, and how to edit data stored in a geodatabase. Prerequisite: GEG 5810 or permission from the instructor

GEG 4910: An introduction to programming techniques used in spatial data management and analysis. This course is intended for students with some experience in geographic information systems (GIS) who want to learn how to extend GIS to perform custom analyses, to automate common GIS tasks, or just to learn how spatial data is structured and managed “under the hood”. Topics will include visual models and diagrams of GIS workflows, automation, web mapping, spatial data structures and spatial algorithms. No prior programming experience is required. Prerequisite: GEG 3810 or GEG 5810, or equivalent, or permission of instructor

GEO 5880: (no description available at this time; contact Dr. Barry Kronenfeld at bjkronenfeld@eiu.edu

 

Total: 33 Semester Hours