Professors: Carlos Aiken (Geosciences),
Brian J. L. Berry (Economic, Political and Policy Sciences), �Denis J. Dean (Economic, Political and Policy
Sciences), Daniel Griffith (Economic, Political and Policy Sciences), Paul Jargowsky (Economic, Political
and Policy Sciences), James Murdoch (Economic, Political and Policy Sciences),
Robert Stern (Geosciences)
Associate Professors: Tom Brikowski
(Geosciences), John Ferguson (Geosciences), Fang Qiu (Economic, Political and Policy Sciences),
Michael Tiefelsdorf
(Economic, Political and Policy Sciences)
Assistant Professors: Karen Hayslett-McCall
(Economic, Political and Policy Sciences)
The Master of Science
in Geospatial Information Sciences is a professional program that is offered
jointly by the School of Economic, Political and Policy Sciences and the School
of Natural Sciences and Mathematics. The program focuses on the use of
Geographic Information Systems (GIS) and associated technologies such as remote
sensing and global positioning systems for acquiring, managing, analyzing and
communicating spatially-referenced information. Students are �expected to master �the concepts underlying GIS, the skills for
implementing GIS projects in public or private sector organizations, and the
ability to use GIS in pure or applied research in substantive areas.
Graduates of
the program can apply their skills in a variety of areas such as public
administration and policy analysis; public safety, criminology, �emergency preparedness management;
environmental management; urban, regional, social service and transportation
planning and analysis; �marketing, site
selection, logistics and real estate; and resource exploration, including
petroleum.
The mission of
the Master of Science in Geographic Information Sciences program is to provide
students a rigorous understanding of the technologies, quantitative techniques,
models and theories used to acquire and manage spatially referenced information, �analyze spatial
processes, and communicate spatial information. U.T.Dallas graduates will have strong analytical and
numerical skills, knowledge of empirical and quantitative research
methodologies, and employ novel geographic information sciences technologies. They
will use these capabilities to support public and private sector organizations,
to address significant societal issues, and to enhance understanding of the
human and natural environments. They will successfully compete at the highest
level for jobs requiring geospatial skills and for entry into quality doctoral
programs in relevant areas. More specifically, graduates of the program
will:
� demonstrate their knowledge of
the technologies, quantitative techniques, models and theories used to acquire
and manage spatially referenced information and to analyze spatial processes.
� have strong analytical
and numerical skills, knowledge of empirical and quantitative research
methodologies, and be able to employ these skills and methodologies in novel
geographic information sciences applications.
� be able to identify and
apply appropriate geospatial methodologies to support public and private sector
organizations, to address significant societal issues, and to enhance
understanding of the human and natural environments.
Classes are
offered through state-of-the-art GIS computing facilities housed
�in the
The
University�s general admission requirements are discussed here.
For
admission to the program, a baccalaureate degree from an accredited university
or college is required and Graduate Record Examination (GRE) or Graduate
Management Aptitude Test (GMAT) scores must be presented. A 3.0 undergraduate
grade point average (on a 4.0 scale), and a combined
verbal and quantitative score of at least 1000 on the GRE, or equivalent score
on the GMAT, are desirable. Students must also submit transcripts from all
higher education institutions attended, three letters of recommendation, and a
personal statement, approximately one page in length, outlining their
background, education and professional objectives.
Beginning
students must have the equivalent of GISC 6381 Geographic Information Systems
Fundamentals and GISC 6382 Applied Geographic Information Systems, or they must
take these courses at U.T.Dallas
in addition to the 30 credit hours required for the Masters. Additionally, beginning
students are expected to have at least one course at the graduate or
undergraduate level covering descriptive and inferential statistics (or take
POEC 5313 Descriptive and Inferential Statistics, but this will not count
toward the 30 hours needed for the degree), to have completed college
mathematics through calculus, and to have at least one programming or computer
applications course or possess equivalent knowledge.
The
University�s general degree requirements are discussed here.
To earn the
Master of Science in
Geospatial Information Sciences, students must complete a minimum of 30
semester credit hours of work in the program. The program consists of a base
requirement of 9 hours (three courses), a core requirement of 9 hours, a
research project requirement of 3 hours, and prescribed electives for 9 hours.
Students must achieve at least a 3.0 grade point average in the core
requirement and an overall grade point average of 3.0 to graduate.
Statistics (1 or 2 courses):
GISC 5313 Geospatial
Data Analysis Fundamentals or
GEOS 5306 Data Analysis for Geoscientists or
GISC 6311/ECON 6311 Statistics for Geospatial Science
GISC 5316 Regression with Spatial Applications or
POEC 5316 Advanced
Regression
Programming (1 or 2 courses):
GEOS 5303 Computing
for Geoscientists
GISC 5317 Computer Programming for GIS
GISC 6388 GIS Application Software Development
GISC 7363 Internet Mapping and Information Processing
MIS 6326 Database Management Systems
Core Requirement (9
credit hours):
GISC 6325 (GEOS 5325)
Introduction to Remote Sensing
GISC 6384 Spatial Analysis and Modeling
GISC 6387 Geographic Information Systems Workshop or
GEOS 7327/GISC 7367 Remote Sensing Workshop
GISC 6389 GIS
Master�s Project , or GISC
7389 GI Sciences Ph.D. Research Project Qualifier, or GEOS 8000-level research
course with prior approval
GISC 5316 Regression
Analysis with Spatial Applications
GISC 6380 Spatial Concepts and Organization
GISC 6383 GIS Management and Implementation
GISC 6385 GIS Theories, Models, and Issues
GISC 6386 Urban and Environmental Applications for Geographic Information
Systems (GIS)/Remote Sensing
GISC 6388 GIS Application Development
GISC 7360 GIS Pattern Analysis
GISC 7361 Spatial Statistics
GISC 7362 GIS Network Modeling
GISC 7363 Internet Mapping and Information Processing
GISC 7364 Demographic Analysis and Modeling
GISC 7365 Remote Sensing Digital Image Processing
GISC 7366 Applied Remote Sensing
GISC 7368 Spatial Epidemiology
GISC 7387 GIS Research Design
GISC 7384 Advanced Raster Modeling
GISC 8320 Seminar in Spatial Analysis
GEOS 5322 Global Positioning System (GPS) Satellite Surveying Techniques
GEOS 5324 3-D Data Capture and Ground Lidar
GEOS 5325/GISC 6325 Introduction to Remote Sensing
GEOS 5326/GISC 7365 Remote Sensing Digital Image Processing
GEOS 5329/GISC 7366 Applied Remote Sensing
CS 6359 Object Oriented Analysis and Design
CS 6360 Database Design
CS 6366 Computer Graphics
CS 6384 Computer Vision
MIS 6308 Systems Analysis and Project Management
MIS 6324 Decision Support Systems
MIS 6326 Database Management Systems
MIS 6328 Information Strategy Planning
PA 5318 Information Systems in Policy Environments
POEC 5316 Advanced Regression Analysis
Thesis Option
Students may elect to
follow a thesis option by working under the supervision of a selected GISC
faculty member and two committee members (one of whom is assigned by the GISC
program head) to extend their Geospatial Information Sciences Master�s
Project (GISC 6389) into a written Master�s research thesis. If this option
is followed, GISC 8V98 Master�s Thesis may substitute for 3 hours of elective credit.
Permission to pursue this option must be obtained from the GIS Program Head
prior to enrolling in GISC 6389 or GISC 8V98.