PhD in Management Science, Information Systems Concentration
This program is designed for students who seek training in advanced theoretical and applied issues in the field of information systems. The training prepares students for conducting leading-edge research in topics ranging from the design of optimized systems to the effective use of such systems in organizations. Students undergo rigorous training in research methodologies, as well as in the design of information systems. The research conducted is often interdisciplinary in nature and is characterized by strong analytical modeling of new and emerging issues in information technology management and creation. The program prepares students mainly for academic positions in research universities; some students may be placed in research positions in industry, government or consulting organizations.
The PhD in Information Systems program is characterized by a high ratio of research faculty to students, which fosters close working relationships. Students have the opportunity to be involved in ongoing faculty research projects under the mentorship of experienced professors. The close interaction with faculty enables students to quickly learn to identify and develop research ideas and create their own research agenda. Students also develop their teaching skills under faculty mentorship by teaching organized classes.
Successful candidates must possess a strong aptitude for abstract thinking and quantitative analysis to address relevant business problems. Students admitted into the PhD in Information Systems program devote the first few years to coursework and research projects, preparing for the qualifying examinations and developing their preliminary dissertation proposal. The next one to two years are devoted to dissertation research and writing. Students must complete at least 75 semester hours of approved graduate work before a degree may be conferred. Credit may be granted for courses taken elsewhere.
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- Research Ranking
- Selected Placements
- Student Publications
- Admission Procedures
- Degree Requirements
Presently ranked #2 worldwide in research based on publications in three information systems journals, our Information Systems faculty are distinguished, pioneering researchers.
Faculty research pursuits range from quantitative modeling to empirical studies, mathematical programming, applied stochastic processes, statistics, econometrics, and economics.
With analytical depth and methodology, drawing from disciplines such as economics, operations research and econometrics, their research is both prevalent and employed in today’s rapidly changing technological world.
The UT Dallas Top 100 Worldwide Rankings of Business Schools based on Research Contributions in Information Systems Research, Journal on Computing, MIS Quarterly, 2009 – 2014.
|1||University of Maryland at College Park (Robert H. Smith School of Business)||46||21.73||USA|
|2||University of Texas at Dallas (Naveen Jindal School of Management)||36||19.49||USA|
|3||Temple University (The Fox School of Business and Management)||33||15.99||USA|
|4||University of Connecticut (School of Business)||26||13.68||USA|
|5||City University of Hong Kong (College of Business)||31||12.51||China|
|6||University of British Columbia (Sauder School of Business)||24||12.48||Canada|
|7||University of Arkansas at Fayetteville (Sam M. Walton College of Business)||24||12.48||USA|
|8||Georgia Institute of Technology (College of Management)||26||11.66||USA|
|9||University of Minnesota at Twin Cities (Carlson School of Management)||31||11.58||USA|
|10||University of Texas at Austin (McCombs School of Business)||26||10.88||USA|
Advanced and rigorous coursework, methodology and design, and significant placement on student research are the hallmarks of the Information Systems program.
The Information Systems program is characterized by a high ratio of research faculty to students which fosters close collaboration. Students have the opportunity to be involved in ongoing research projects under the mentorship of renown, distinguished faculty.
The program is designed for students to develop a strong aptitude for abstract thinking and quantitative analysis to address relevant business problems for their careers in academia or industry.
As shown in the table below, our Information Systems students have obtained top academic and industry appointments.
|Name||Initial Placement||Current Placement|
|Dengpan Liu||University of Alabama in Huntsville||Iowa State University|
|Hasan Cavusoglu||The University of British Columbia|
|Huseyin Cavusoglu||Tulane University||University of Texas at Dallas|
|Krishnamurthy Jayanth||Blockbuster, Inc.||Facebook Inc.|
|Monica Surinder Johar||University of North Carolina at Charlotte|
|Samit Soni||Vanderbilt University||Oliver Wyman|
|Wael Jabr||University of Calgary||Georgia State University|
|Yonghua Ji||University of Alberta|
|Young Kwark||University of Florida|
|Zhengrui Jiang||University of North Alabama||Iowa State University|
Our program has a dynamic and diverse group of students with academic backgrounds from the University of North Carolina to Bilkent University to the Indian Institute of Technology.
The close interaction with faculty enables students to quickly learn to identify and develop research ideas and create their own research agenda. Students also develop their teaching skills under faculty mentorship by teaching organized classes.
Below are examples of student publications in 24 leading business journals from 2007-2014.
Lee, Chul Ho; Chul Lee – Xavier University of Cincinnati, Xianjun Geng – University of Texas at Dallas, Srinivasan Raghuanathan – University of Texas at Dallas “Contracting information security in the presence of double moral hazard.” Information Systems Research Vol 24 (2013).
Kaya, Cuneyd; Alejandro Zentner – University of Texas at Dallas, Michael Smith – Carnegie Mellon University, Cuneyd Kaya – University of Texas at Dallas “How video rental patterns change as consumers move online.” Management Science Vol 59 (2013).
Xia, Hao; Hao Xia – Harbin Institute of Technology Milind Dawande – University of Texas at Dallas Vijay Mookerjee – University of Texas at Dallas “Role refinement in access control: model and analysis.” Journal on Computing Vol 26 (2014).
Kwark, Young; Young Kwark – University of Florida, Jianqing Chen – University of Texas at Dallas, Srinivasan Raghunathan – University of Texas at Dallas “Online product reviews: implications for retailers and competing manufacturers.” Information Systems Research Vol 25 (2014).
Ceran, Yasin; Yasin Ceran – Santa Clara University, Milind Dawande – University of Texas at Dallas, Dengpan Liu – Iowa State University, Vijay Mookerjee – University of Texas at Dallas “Optimal software reuse in incremental software development: a transfer pricing approach.” Management Science Vol 60 (2014).
Jabr, Wael; Wael Jabr – Georgia State University Zhiqiang (Eric) Zheng – University of Texas at Dallas “Know yourself and know your enemy: an analysis of firm recommendations and consumer reviews in a competitive environment.” MIS Quarterly Vol 38 (2014).
Jabr, Wael; Wael Jabr – University of Calgary Radha Mookerjee – University of Texas at Dallas YONG TAN – University of Washington at Seattle Vijay Mookerjee – University of Texas at Dallas “Leveraging philanthropic behavior for customer support: the case of user support forums.” MIS Quarterly Vol 38 (2014).
Ghoshal, Abhijeet; Abhijeet Ghoshal – University of Illinois at Urbana Champaign Sumit Sarkar – University of Texas at Dallas “Association rules for recommendations with multiple items.” Journal on Computing Vol 433 (2014).
Liu, Dengpan; Yasin Ceran – Santa Clara University, Milind Dawande – University of Texas at Dallas, Dengpan Liu – Iowa State University, Vijay Mookerjee – University of Texas at Dallas “Optimal software reuse in incremental software development: a transfer pricing approach.” Management Science Vol 60 (2014).
Surinder Johar, Monica;Monica Johar – University of North Carolina at Charlotte, Vijay Mookerjee – University of Texas at Dallas, Sumit Sarkar – University of Texas at Dallas “Selling vs. profiling: optimizing the offer set in web-based personalization.” Information Systems Research Vol 25 (2014).
Asdemir, Kursad; Varghese S. Jacob, Nanda Kumar. “Pricing Models for Online Advertising: CPM vs.CPC.” Information Systems Research Vol 23 (2012).
Cavusoglu, Hasan; Huseyin Cavusoglu, Srinivasan Raghunathan. ” Value of and Interaction Between Production Postponement and Information Sharing Strategies for Supply Chain Firms.” Production and Operations Management Vol. 21 (2012).
Jiang, Zhengrui; Sumit Sarkar, Varghese S. Jacob. “Postrelease Testing and Software Release Policy for Enterprise Level Systems.” Information Systems Research Vol. 23 (2012).
Johar, Monica; Nanda Kumar, Vijay S. Mookerjee. “Content Provision Strategies in the Presence of Content Piracy.” Information Systems Research Vol. 23 (2012).
Liu, Dengpan; Kumar, Subodha; Mookerjee, Vijay S. “Advertising Strategies in Electronic Retailing: A Differential Games Approach.” Information Systems Research Vol. 23 (2012)
Atahan, Pelin; Sarkar, Sumit. “Accelerated Learning of User Profiles.” Management Science Vol. 57 (2011).
Banker, Rajiv; Hu, Nan; Pavlou, Paul; Luftman, Jerry. “CIO Reporting Structure, Strategic Positioning, and Firm Performance.” MIS Quarterly Vol. 35 (2011).
Dogan, Kutsal & Ji, Yonghua; Vijay S. Mookerjee, Suresh Radhakrishnan. “Managing the Versions of a Software Product Under Variable and Endogenous Demand.” Information Systems Research Vol. 22 (2011).
Ji, Yonghua; Subodha Kumar, Vijay S. Mookerjee, Suresh Sethi, Denny Yeh. “Optimal Enhancement and Lifetime of Software Systems: A Control Theoretic Analysis.” Production and Operations Management Vol. 20 (2011).
Johar, Monica; Syam Menon, Vijay S. Mookerjee. “Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures.” Information Systems Research Vol. 22 (2011).
Cavusoglu, Huseyin; Koh, Byungwan; Raghunathan, Srinivasan. “An Analysis of the Impact of Passenger Profiling for Transportation Securit
Applicants should have at least a bachelor’s degree. Admission is based on grade point average, graduate examination test score (GRE or GMAT), letters of reference (at least three, with two from academic references), business and professional experience (if applicable), a written statement of personal objectives and compatibility with faculty research activities. Since the School of Management starts making first-round admission decisions on January 16th, it is best to complete the entire application process no later than January 15th. While applications will be accepted after that date, applying after January 15th may significantly lower your chance of acceptance. Applications for admission can be made using the UT Dallas Graduate Application website.
Calculus, matrix algebra, computer programming and statistics are prerequisites for the doctoral program – every admitted student is responsible for ensuring he/she has satisfied these prerequisite requirements before joining the program.
Students entering the program without an MBA or equivalent must complete a minimum of four courses in at least three areas typically required of MBA students to provide them with the knowledge required to be professional managers. In certain instances, a higher-level course may be substituted for an MBA-level course.
Research Methods Core
The Management Science PhD core curriculum consists of a minimum of 9 courses.
Please visit the Management Science Degree Plan page for core and secondary core course requirements.
Nine hours in any approved field
Required courses in Information Systems
Students are required to take a sequence of specific courses. Students should consult with faculty members in their respective areas to decide on the sequence of courses.
Seminars and Special Topics
Twelve hours of special topics and seminars in the information systems area.
Students are required to write original research papers in both their first and second summers. The second year paper is presented in a seminar attended by faculty and other students, and must be judged to be passing by the faculty before the student can advance to candidacy.
Written Preliminary and Qualifying Examinations
PhD in Information Systems students take a written preliminary exam at the end of their first year in the program over a set of core methodology courses (MECO 6315 Statistics, MECO 6345 Advanced Managerial Economics, MECO 6350 Game Theory, OPRE 7353 Optimization). At the end of their fifth semester in the program, students take a qualifying exam (consisting of two parts: a written exam that tests their knowledge of information systems theory and applications, and a completed research paper), that they must pass before admission for candidacy for the doctorate degree.
Once the student has passed qualifying exam and paper requirements, work on the dissertation can commence. The dissertation is written under the direction of the dissertation committee. Twelve to 24 semester hours may be granted for the dissertation toward the minimum 75-hour requirement for the degree. At a time mutually agreeable to the candidate and the dissertation committee, the candidate must orally defend the dissertation to the committee.