PhD Concentration in Information Systems
| |
Students may designate a concentration in information systems
in their doctoral degree title. In that case the transcript of
a graduating student would be “PhD in Information Technology with Concentration
in Information Systems.” Students may also pursue such doctoral studies without
designating a concentration in their degree title.
Requirements
Students seeking this concentration must satisfy all the requirements for
the PhD in Information Technology. In addition, the following
requirements must be met.
Plan of Study
All decisions concerning the student's course requirements and plan of study
must be approved by the advisor or director, with the consent of the ISE Department's
doctoral coordinator.
Doctoral Supervisory Committee
The dissertation director must be a faculty member of the ISE or CS departments.
The composition of the doctoral supervisory committee is to be approved by the
ISE Department doctoral coordinator, ISE Chair, and the Volgenau School associate dean
for graduate studies and research. Permission for the comprehensive examination and
the dissertation defense is requested from the Volgenau School associate dean on the basis
of a written request and plan that has been approved by the supervisory committee
and the ISE department doctoral coordinator.
Note for PhD pre-defense and final defense:
-
It is the University policy that the final defense can only occur
at least two weeks after the pre-defense.
-
The Volgenau School's policy requires that the final defense for the
PhD in IT degree can only occur at least four weeks after the
pre-defense. Under very special circumstances, the minimum two-week
period determined by the University policy may be approved by the
Associate Dean for Research and Graduate Studies.
-
Students in the PhD in IT degree program must submit
an
Approval to Defend Dissertation form [PDF]
along with a copy of the written dissertation to
Lisa Nolder after successfully passing their pre-defense.
-
Students should also submit to the Associate Dean (via e-mail):
(a) a copy of the title and abstract of the dissertation,
(b) a list of publications resulting from the dissertation, and
(c) information on future employment after graduation.
-
Students are responsible providing an electronic version of the
announcement to be posted at various places within the university to the
staff person in charge of coordinating their respective PhD degrees.
Failure to do so will delay the date of the final defense.
Qualifying Examinations
To satisfy the breadth requirement of the PhD degree, each student must pass a set
of qualifying examinations designed to test a student's fundamental knowledge.
The general IT PhD requirement is that each student must take four exams from three
different master's programs. For the concentration in information systems:
- Two exams from the following list:
-
Two exams from software engineering, computer science, information security and assurance,
and statistical science (at most one exam may be taken from each of these four master's programs):
Computer Science
- Compilers and Languages
- Artificial Intelligence
- Algorithms
Information Security and Assurance
Statistical Science
- Applied Probability
- Applied Statistics
Advanced Emphasis Requirement
For students specializing in information systems, at least 18 of the 24
credits in the advanced emphasis requirement must be taken as follows:
-
At least 12 credits from Group A: INFS and IT courses in Information Systems
-
The remaining 6 credits from Groups B and C:
SWE, CS and IT courses in Software Engineering and Computer Science
Proposed lists in these 3 groups are listed below:
Group A: INFS, ISA, and IT Courses in Information Systems
INFS 740 Individual Project in Electronic Commerce
INFS 750 Application Framework for Windowed Information Systems
INFS 755 Data Warehousing and Mining
INFS 760 Advanced Database Management
INFS 764 Object-Oriented Database Systems
INFS 770 Knowledge Management for E-Business
INFS 790 Information Systems Policy and Administration
INFS 796 Directed Readings in Information Systems
INFS 797 Advanced Topics in Information Systems
INFS 798 Research Project
ISA 562 Information Security Theory and Practice
ISA 656 Network Security
ISA 674 Intrusion Detection
ISA 765 Database and Distributed Systems Security
ISA 767 Secure Electronic Commerce
IT 811 Principles of Machine Learning and Inference
IT 861 Distributed Database Management Systems
IT 862 Computer Security Models and Architectures
IT 864 Scientific Databases
IT 865 Networks and Distributed Systems Security
IT 867 Intelligent Databases
IT 950 Design and Management Aspects of Information Systems
IT 962 Advanced Topics in Information Security
Group B: SWE and IT Courses in Software Engineering
IT 821 Software Engineering Seminar (SWE)
IT 822 Software Maintenance and Reuse (SWE)
IT 823 Software for Critical Systems (SWE)
IT 824 Program Analysis for Software Testing (SWE)
SWE 720 Advanced Software Requirements
SWE 721 Reusable Software Architectures
SWE 763 Software Engineering Experimentation
SWE 796 Directed Readings in Software Engineering
Group C: CS and IT Courses in Computer Science
CS 583 Analysis of Algorithms
CS 750 Theory and Applications of Data Mining
CS 782 Machine Learning
IT 809 Scaling Technologies for E-Business
IT 811 Principles of Machine Learning and Inference
IT 844 Pattern Recognition
IT 858 Logic Models in Artificial Intelligence
For Further Information
Additional information on the program are available from the
ISE Student Advisor
Financial aid information is available at the
GMU Office of Financial Aid
Effective Fall 2007.
|
|
|
|
Information Systems