The MIS Ph. D. program starts with a solid foundation in research methodology. Building on this, it offers a unique synthesis of state of the art technologies and approaches from Computer Science, Artificial Intelligence , Economics, Operations Management, Groupware, and Socio-technical networks, to name a few. Our top -flight research faculty stands ready to mentor students and guide their entry into the many possible avenues of MIS scholarly pursuits. There is a mix of hands-on and theoretical work: the students learn how to implement, deploy and evaluate business information systems that are of interest to academia and industry alike.
Program Requirements
Plan of Study
Graduate Forms
Program Requirements
The MS Ph.D. degree requires a major in MIS plus a minor in a related discipline from another department. The major course work consists of a set of core courses (18 units), statistical methods (6 units), research methodology (6 units), and specialization (6 units). Below are the required courses. (View detailed course listing.)
| Requirements |
Courses |
CORE
(18 units required) |
MIS 531A: Data Structures and Algorithms
MIS 541A: Information Systems Analysis and Design
MIS 696A: Readings in MIS
MIS 507B: Data Communications and Networks
MIS 531B: Data Structures and Database Management
MIS 611B: Behavioral Research Methodologies
|
STATISTICAL METHODS
(6 units required) |
MAP 582A: Basic Multivariate Analysis in Management
MAP 582B: Multivariate Analysis in Management |
RESEARCH METHODOLOGY
(6 units required) |
MIS 611A: Design Science Research Methodologies
MIS 696D: Models for Quantitative Analysis |
SPECIALIZATION
(6 units required) |
The student should consult his/her major advisor to select two courses that contain the basic knowledge in a chosen area of specialization such as Information Technology, Information Economics, Management and Organization, Quantitative Methods and Operations Management. |
The minor requirements are determined by the department that offers the minor. Students should consult the major advisor and the minor department for guidance. Some well-taken minors include computer science, decision science, economics, industrial engineering, linguistics, and management and policy.
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Suggested Plan of Study
The Ph.D. program offers a high level of flexibility in terms of course work, which is determined by the student.s chosen specialization in major and minor. As such, each individual student can work with his/her advisor to design a unique plan of study. The following table gives a sample plan of study to illustrate the basic timeline.
| Semester |
Plan of Study |
| Fall, Year 1 |
MIS 696A, MIS 531A, MIS 541A, MAP 582A** |
| Spring, Year 1 |
MIS 507B, MIS 531B, MIS 611B, MAP 582B** |
| Last Week of May |
Core Exam (Written) |
| Fall, Year 2 |
MIS 696D, Minor Course 1, Minor Course 2 |
| Mid December |
Submit proposal for a research paper |
| Spring, Year 2 |
MIS 611A, Minor Course 3, Minor Course 4 |
| Mid October |
Preliminary Exam (research paper and oral exam) |
| Fall, Year 3 |
MIS 920 and other courses |
| Spring, Year 3 |
MIS 920 and other courses |
| Anytime before the Comprehensive Exam |
Minor Exam (Consult the minor department) |
| Early June *** |
Comprehensive Exam (Draft dissertation and oral exam) |
| Fall, Year 4 |
MIS 920 and other courses |
| Spring, Year 4 |
MIS 920 and other courses |
| Early June*** |
Dissertation Defensive (Completed dissertation and oral exam) |
* This is a sample plan of study. Specific sequence of courses can vary depending on the schedule of courses being offered.
**These two courses are suggested courses in statistical methods and may be replaced by equivalent courses in statistics from other departments.
***These exam times are flexible, and students should consult the major advisor for guidance
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