Nov 15, 2019  
2003-2004 Graduate Catalog 
    
2003-2004 Graduate Catalog [ARCHIVED CATALOG]


Information Systems



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Program Requirements

  1. The MS - Information Systems Science (MSIS) consists of 30 credits, all earned in course work.
  2. All students apply through the Graduate School for admission. Students must be admitted to the graduate degree program by the Steering Committee for the MSIS graduate program or by a subcommittee explicitly formed by the Steering Committee to address admissions decisions.
  3. Program of Study:
    1. are approved for each student by the Steering Committee for the MSIS graduate program. This committee consists of one representative each from the Maine Business School, the Department of Computer Science, and the Department of Spatial Information Science and Engineering along with a representative from the Graduate School, who serves as the chair of the Steering Committee and Graduate Program Coordinator.
    2. each student’s program of study must include the six required core courses with the remainder of courses to be selected from the approved course list subject to approval of the student’s advisor and the MSIS Steering Committee.
    3. at least 15 credits of the 30 required on a student’s program of study must be at the 500 level or above.
    4. up to two courses may be taken at other universities by distance methods or otherwise if contained on the student’s graduate program of study and approved in advance by the MSIS Steering Committee.
    5. up to two graduate courses may be transferred into the student’s graduate program of study if taken prior to admission to the Graduate School, the courses did not count towards the student’s undergraduate degree requirements, and the courses are approved by the MSIS Steering Committee.
    6. the Graduate Coordinator (that is, the Chair of the Steering Committee) will usually serve as the initial advisor for each student admitted to the graduate program.
  4. All students must complete the entire M.S. graduate program of study within a six-year period (as established by the Graduate School). Students taking any MSIS courses must be admitted to the Graduate School or must have permission of the instructor of the course in order to register.

Prerequisites for Admission


Students must take the GRE exam and complete the following prerequisite courses or equivalents prior to being admitted to the graduate program. Those with a GRE score of less than 1000 and/or lower than an undergraduate grade point average of 3.0 are discouraged from submitting an application to the program. Students who have previously taken the GMAT exam may submit these scores with advance permission of the Graduate School. If one or more prerequisite courses are lacking, a student may be admitted on a provisional basis, but all prerequisite courses must be completed with a grade of C or better by the end of the first semester of admission to the graduate program and such courses will not count toward the degree requirements.

  • COS 220 - Introduction to Computer Science I. Credits: 3
  • MAT 126 - Calculus I. Credits: 4
  • MAT 232 - Principles of Statistical Inference. Credits: 3

Course Work Requirements for the M.S. Degree


The MSIS program consists of 6 core courses and a minimum of four additional courses from the list of courses approved for the program for a total of 30 credits. If some required courses are duplicative of courses that may have been taken in the student’s undergraduate degree program, those course need not be repeated, and the student will select in consultation with the Graduate Coordinator and the Steering Committee additional approved courses to arrive at the total of 30 credit hours.

In general, the normal expectation is that students taking these courses must be admitted to the MSIS program. Preference in class enrollments is given to formally admitted graduate students. Students not formally admitted to the MSIS program or to a graduate program of the academic unit offering the graduate course may be admitted to the course only if all of the following are met:

  1. class enrollment caps have not yet been met
  2. the student meets all background and course prerequisites for entry into the course and is specifically approved by the concerned instructor
  3. admission is not contrary to accrediting or other academic unit policies. Non-matriculated students may take graduate-level business administration classes only if they have submitted a certificate or degree application to the Graduate School.

Core Courses Required


Note: All of these courses must be taken and all count toward the graduate degree unless they were taken in a student’s undergraduate program. Three of these courses are offered typically in the fall (BUA 664, SIE 550 & SIE 525) and the other three are offered typically in the Spring.

Approved Courses for the MS Information Systems Program


Students must take at least four courses that are approved by their advisor and the MSIS Steering Committee from the following approved course listings in order to arrive at the total of 30 credits required. Students should NOT assume that any combination of the following courses will be approved by their graduate committee. Students should obtain approval of their full program of study prior to taking the following courses to ensure that they will count towards their degree requirements. Some of these elective graduate courses may require prerequisites in addition to the minimum required for general admission to the MSIS graduate program.

Courses Recommended from the Primary Information System Academic Units


Spatial Information Science and Engineering


Distance Education Issues


All of the core courses and some of the other courses listed above are offered by “webcast” through distance education methods. Students taking courses by distance methods must meet access, software and hardware requirements.

To be considered for Fall admission, completed applications must be received 8 weeks prior to the beginning of the term. For additional information contact the Graduate School, IS Coordinator, 5782 Winslow Hall, Room 2, Orono, Maine 04469-5782 or e-mail graduate@maine.edu or visit www.spatial.maine.edu/MSIS.htm.

Graduate Faculty


M. Kate Beard-Tisdale, Ph.D. (Wisconsin, 1988), Professor. Geographic information systems, spatial analysis, digital libraries.

Virginia R. Gibson, Ph.D. (State University of New York at Binghamton, 1986), Associate Professor of Management Information Systems. Information systems for management decision support, business climate.

Kathleen Hornsby, Ph.D. (University of Maine, 1999), Assistant Research Professor of National Center for Geographic Information and Analysis. Geographic information systems (GIS), spatio-temporal knowledge representation, GIS user interface design.

Nory B. Jones, Ph.D. (Missouri, 2001), Assistant Professor of Management Information Systems. Knowledge management, collaborative technologies, and diffusion of technological innovations.

Laurence J. Latour, Ph.D. (Stevens Institute of Technology, 1985), Associate Professor and Graduate Coordinator. Database systems, software engineering, programming languages and environments, software reusability, software specification techniques, concurrency reliability.

Silvia Nittel, Ph.D. (Zurich, 1994), Assistant Professor. Spatial database management systems, mobile object systems, heterogeneous information systems, high performance architectures.

Harlan J. Onsrud, J.D. (Wisconsin, 1982), Professor. Computer and information systems law, cadastral systems, boundary law, and environmental law.

David M. Steiger, Ph.D. (Oklahoma State, 1993), Associate Professor of Management Information Systems. Knowledge management, data mining, decision support systems.

Natalie M. Steiger, Ph.D. (North Carolina State, 1999), Assistant Professor of Management. Systems analysis and optimization, operations research and production.

Michael F. Worboys, Ph.D. (Birmingham England, 1980), Professor. Geographic information representation and reasoning, uncertainty, spatio-temporal information, human interaction issues.

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