This degree
program is jointly offered by the
Professors: Carlos Aiken (Geosciences), Brian J. L. Berry (Economic,
Political and Policy Sciences), Ronald Briggs (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), Edwin Sha
(Computer Science), 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), Weili Wu (Computer Science)
Powerful new
technologies have emerged in recent years to collect, store, manage, and
analyze information regarding the features of the Earth's surface and to
combine these with other types of environmental, social and economic
information. These technologies, which include geographic information systems
(GIS), the global positioning system (GPS), and satellite-based remote sensing,
are used in many ways including digital maps in vehicles, the management and
maintenance of city infrastructure,�
regional agriculture and forest lands,�
the policing of communities, and the conduct of� modern warfare.� The PhD in Geospatial Information Sciences
aims to develop individuals capable of advancing this field by developing new
knowledge or capabilities relevant to it.
The degree
program is jointly offered by the
The mission
of the Doctor of Philosophy in Geographic Information Sciences program is to
cultivate innovative researchers capable of advancing the frontiers of
knowledge in the geospatial information sciences through improved theories, new
technologies, innovative methodologies, sophisticated quantitative analyses,
and integrative applications. U.T.Dallas Doctoral
graduates will find employment in research departments of public and private
organizations and in major academic institutions. Specifically, program
graduates will:
�
demonstrate
their knowledge of the fundamental theories and concepts underlying the geospatial
sciences
�
master the advanced
methodologies and/or quantitative analyses used in at least one of three
geospatial specialization areas: [a] computing and information management,
spatial analysis and modeling, or [c] remote sensing and satellite
technologies.
�
produce
innovative research that advances theory or methodology in the geospatial
sciences
�
participate
at academic conferences, publish in peer-reviewed journals and find employment
in research departments of public and private organizations and in major
academic institutions
Students
have access to state-of-the-art GIS computing facilities housed at the
The
University�s general admission requirements are discussed here.
The PhD
program in Geospatial Information Sciences seeks applications from students
with a baccalaureate, Master of Arts, Master of Science or professional
masters-level degree in any field relevant to geospatial information science
including, but not limited to, computer science, economics, engineering,
geography, geology, management information systems, marketing, natural resource
management, public affairs and public administration, statistics, and urban and
regional planning,. Applicants will be judged and evaluated by the existing
admission standards as set forth by the University in its Graduate Catalog and
by the standards set forth here by the Geospatial Information Sciences program.
A bachelor�s degree from an accredited institution or its equivalent and
fluency in written and spoken English are required. A grade average of at least
3.25 in undergraduate and graduate course work, and a combined verbal and
quantitative score of 1150 on the GRE are desirable. An analytical writing
score of at least 4.5 in the GRE is considered desirable.�
Students
must submit transcripts from all higher education institutions attended, three
letters of recommendation, and a one-page essay outlining the applicant�s
background, education, and personal objectives as they specifically relate to a
Ph.D. in Geospatial Information Sciences.
The following pre-requisites/co-requisites will also be required for
admission to the PhD program: (i) college mathematics
through calculus, (ii) competence in at least one modern programming language
equivalent to� GISC 5317 Computer Programming for GIS, or CS 5303
and CS 5330 Computer Science I & II or MIS 5321 Computer Programming or MIS 6322 Visual Basic or MIS 6323 Java,
or their equivalents, and (iii) at least one course in inferential statistics
through to regression analysis equivalent to GISC 5313 Geospatial Data Analysis
Fundamentals or� POEC 5313 Descriptive
and Inferential Statistics or GEOS 5306 Data Analysis for Geoscientists.
Graduate courses taken at U.T.Dallas to meet these
pre-requisites may be counted as electives toward the 90 credit hours for
students entering the Ph.D. program directly from a B.A. or B.S. degree, but
they shall not be considered substitutes for any other specified course.�
Because of
the cross-disciplinary nature of this doctoral program, to ensure adequate
preparation and appropriate course sequencing, every doctoral student is
required to consult with the student�s designated advisor and/or the GIS
Doctoral Program Director prior to registration in every semester.
The
University�s general degree requirements are discussed here.
To receive
the PhD in Geospatial Information Sciences, students must complete the
Geospatial Science Core (15 SCH) to achieve a mastery of appropriate Geospatial
Information Science technologies and theory, have a Geospatial Specialization
Area (15 SCH), have a� Specific
Application area or Technical field (12 SCH), evidence research skills through
successful completion and defense of a Ph. D. dissertation, and take� related electives as necessary� for a total of 90 semester credit hours. In
addition, students must satisfy a set of exams and qualifiers. Other courses
may be substituted for those listed below with the written permission in
advance of the Director of the GIS Doctoral program.
Geospatial Science Core� (15 SCH)
GISC 6381 GIS
Fundamentals
GISC 6382 Applied
GIS
GISC 6384 Spatial Analysis and Modeling
GISC 6385 GIS Theories, Models and Issues
GISC 5316 Regression Analysis with Spatial
Applications or POEC 5316 Advanced
Regression
Geospatial Specialization Area
selected
from one of the following, with a minimum of 15 SCH. Courses selected
must include at least three at successively advanced levels.
I.
Geospatial Computing and Information Management
CS 6359 Object Oriented Analysis and Design
CS 6360 Database Design
CS 6364 Artificial Intelligence
CS 6366 Computer Graphics
CS 6375 Neural Nets and Machine Learning
CS 6378 Advanced Operating Systems
CS 6V80 Spatial Data Management
CS 6381 Combinatorics and
Graph Algorithms
CS 6384 Computer Vision
GISC 5317 Computer Programming for GIS
GISC 6388 GIS Application Software Development
GISC 7363 Internet Mapping and Information
Management
* MISC 6326 Databse
Management Systems
II.
Spatial Analysis and Modeling
CS
5343 Data Structures
*ECON 6309 Econometrics I
*ECON 6310 Econometrics II
*ECON
6311 Statistics for Economists
*ECON
6314 Structural Equation and Multilevel (Hierarchical) Modeling
*ECON
6315/POEC 7370 Time Series Econometrics
*ECON
6316 Spatial Econometrics
*GEOS 5306 Data Analysis for Geoscientists
GISC 7360 GIS Pattern Analysis
GISC 7361 Spatial Statistics
GISC 7363 GIS Network Modeling
GISC 7364 Demographic Analysis and Modeling
GISC 7368 Spatial Epidemiology
GISC 7384 Advanced Raster Modeling
*POEC 5313 Descriptive and Inferential Statistics
*POEC 5316 Advanced Regression Analysis
�III.
Remote Sensing and Satellite Technologies
GEOS 5322 GPS
Surveying Techniques
GEOS 5324 3-D GIS Data Capture and Ground Lidar
GEOS 5325/GISC 6325 Introduction to Remote Sensing
GEOS 5329/GISC
5329 Applied Remote Sensing
GEOS
5326/GISC 7365 Remote Sensing� Digital
Image Processing
GEOS
7327/GISC 7367 Remote Sensing Workshop
EE 6360
Digital Signal Processing I
EE 6363
Digital Image Processing
IV.
Customized Geospatial Specialization(15 SCH)
Identified by the student with approval in advance
by the Director of� the GIS Doctoral
Program.
*
may not be used in conjunction with certain other courses. Consult GIS Doctoral
Program Director
Application Area or Technical Field (12 SCH)
Twelve semester-credit hours of specialized course
work in an application area or technical field relevant to GIScience.� Normally, these will derive from the
student�s masters degree. These hours may be
transferred from another institution, or taken at U.T.Dallas
in an existing master�s program area and may be applied toward a master�s in
that area.
Application area examples: planning, public affairs, criminal
justice, health and epidemiology, geoscience,
forestry, hydrology, marketing, real estate, economics, civil engineering.
Technical field examples: statistics, computer science,
software engineering, management information systems, image analysis,
operations research/location science, instrumentation.
Research
and Dissertation (24 to 48 SCHs)
Which must include:
GISC 7387 GIS Research Design
GISC 7389 GIS PhD Research Project Qualifier
And may include:
GEOS 8V21 Research in Remote Sensing, GIS and GPS
GISC 6387 GIS Workshop
GISC 6389 GIS Masters Project
GISC 7367/GEOS 7327 Remote Sensing Workshop
GISC 8V29 Research in GIS
*POEC 5310 & 6342 Research Design I & II
GISC 8v99 or GEOS 8v99 or CS 8v99 Dissertation
Other
Related Electives (0 to 24 SCH)
Students may choose up to 24 SCHs in related
electives with consent of the GIS Doctoral Program Director.
Exams and
Qualifiers
The
student must register for and complete GISC 7389 Geospatial Information Sciences PhD
Research� Project
Qualifier �according to
uniform guidelines established by the GIS program.�
The
student must have a GPA of at least 3.25, and preferably 3.5, in courses taken
at UT-Dallas at the time they register for GISC 7389 Ph.D. Qualifier, or they must� petition the GIS
faculty for an exemption for extenuating circumstances beyond the student�s
control.
After
meeting the Research Project Qualifier, the�
student must (1) demonstrate through a general exam his/her competency
in the area chosen for their dissertation, and (2) successfully present and
defend a dissertation proposal through an oral examination, according to
uniform guidelines established by the GIS program.
Defense of Dissertation
A
dissertation must be prepared and defended successfully following the
procedures established by the Dean of Graduate Studies.