PhD IT 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.
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 Senior Associate Dean.
Doctoral Supervisory Committee
The composition of the doctoral supervisory committee is to be approved by the
Volgenau School Senior Associate Dean
Permission for the comprehensive examination and
the dissertation defense is requested from the Volgenau School Senior Associate Dean on the basis
of a written request and plan that has been approved by the supervisory committee.
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
Senior Associate Dean.
Students in the PhD in IT degree program must submit
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 for 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.
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):
- Language Processing
- Artificial Intelligence
- Foundations of Computer Science
Information Security and Assurance
- 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:
Proposed lists in these 3 groups are listed below:
At least 12 credits from Group A: INFS and ISA courses in Information Systems and Information Security
The remaining 6 credits from Groups B and C:
SWE and CS courses in Software Engineering and Computer Science
Group A: INFS and ISA Courses
- INFS 764 - Object-Oriented Database Systems
- INFS 796 - Directed Readings in Information Technology
- INFS 861 - Distributed Database Management Systems
- INFS 865 - Networks and Distributed Systems Security
- INFS 867 - Intelligent Databases
- ISA 562 - Information Security Theory and Practice
- ISA 656 - Network Security
- ISA 765 - Database and Distributed Systems Security
- ISA 797 - Advanced Topics in Information Security
- Group B: SWE Courses
- SWE 720 - Advanced Software Requirements
- SWE 721 - Reusable Software Architectures
- SWE 763 - Software Engineering Experimentation
- SWE 796 - Directed Readings in Software Engineering
- SWE 821 - Software Engineering Seminar
- SWE 823 - Software for Critical Systems
- SWE 824 - Program Analysis for Software Testing
- Group C: CS Courses
- CS 583 - Analysis of Algorithms
- CS 688 - Pattern Recognition
- CS 719 - Scaling Technologies for E-business
- CS 750 - Theory and Applications of Data Mining
- CS 782 - Machine Learning
- CS 787 - Decision Guidance Systems
- CS 880 - Research Topics in Artificial Intelligence
- CS 811 - Research Topics in Machine Learning and Inference