AACSB 2017

PhD in Management Science, Information Systems Concentration

Jindal School of Management group of management science, information systems PHD program students signaling the whoosh with their hands

Program at glance

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 or econometric 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.

Apply for PhD Program

The Information Systems Doctoral program at the Naveen Jindal School of Management offers an outstanding opportunity for research in the Information Systems discipline. Our faculty’s research productivity usually ranks at the top in the world. More importantly, we work at the forefront of a variety of research topics and methodologies. Come join us to make this program even stronger!

Vijay Mookerjee, PhD PhD Area Coordinator, Information Systems

Presently ranked #1 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, 2015–2019.

Top 10 Business Schools Worldwide Based on Research Contributions
Rank University Articles Score Country
1 University of Texas at Dallas (Naveen Jindal School of Management) 40 19.92 USA
2 University of Maryland at College Park (Robert H. Smith School of Business) 41 17.36 USA
3 City University of Hong Kong (College of Business) 38 15.23 China
4 University of Minnesota at Twin Cities (Carlson School of Management) 31 13.78 USA
5 Temple University (The Fox School of Business and Management) 32 12.79 USA
6 University of Arkansas at Fayetteville (Sam M. Walton College of Business) 22 11.67 USA
7 Georgia State University (J. Mack Robinson School of Business) 27 11.36 USA
8 Arizona State University (W.P. Carey School of Business) 22 10 USA
9 Hong Kong University of Science and Technology (HKUST) (Business School) 18 8.13 China
10 Carnegie Mellon University (Tepper School of Business) 17 8.08 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.

Selected Student Placements
Name Initial Placement Current Positions
Manmohan Aseri Carnegie Mellon University Carnegie Mellon University
Chenzhang Bao Oklahoma State University
Sezgin Ayabakan University of Baltimore Temple University
Hasan Cavusoglu The University of British Columbia The University of British Columbia
Huseyin Cavusoglu Tulane University University of Texas at Dallas
Leila Hosseini Temple University  
Wael Jabr University of Calgary Georgia State University
Krishnamurthy Jayanth Blockbuster, Inc. Facebook Inc.
Yonghua Ji University of Alberta University of Alberta
Zhengrui Jiang University of North Alabama Nanjing University
Monica Surinder Johar University of North Carolina at Charlotte University of North Carolina at Charlotte
YeongIn Kim Virginia Commonwealth University Virginia Commonwealth University
Young Kwark University of Florida University of Florida
Dengpan Liu University of Alabama in Huntsville Tsinghua University
Sameer Mehta University of Illinois at Urbana-Champaign  
Cheng Nie Iowa State University Iowa State University
Jiahui Mo Nanyang Technological University Nanyang Technological University
Danish Saifee University of Alabama, Tuscaloosa University of Alabama, Tuscaloosa
Jayarajan Samuel University of Texas at Arlington University of Texas at Arlington
Samit Soni Vanderbilt University Oliver Wyman
Zhen Sun George Washington University George Washington University
Murat Tunc Tilburg University  
Mingwen Yang University of Washington

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 2016-2020.

Jyotishka Ray, Syam Menon, Vijay Mookerjee, 2020. “Bargaining over data: when does making the buyer more informed help?” Information Systems Research, vol. 31.

Zhiqiang (Eric) Zheng, Vijay Mookerjee, Mingwen Yang, 2019. “Prescribing response strategies to manage customer opinions: a stochastic differential equation approach.” Information Systems Research, vol. 30.

Zhengrui Jiang, Dipak C Jain, Xinxue Shawn Qu, 2019. “Optimal market entry timing for successive generations of technological innovations.” MIS Quarterly, vol. 43.

Xinxue Shawn Qu, Zhengrui Jiang, 2019. “A time-based dynamic synchronization policy for consolidated database systems.” MIS Quarterly, vol. 43.

Byungwan, Koh, Il-Horn Hann, Srinivasan Raghunathan, 2019. “Digitization of music: consumer adoption amidst piracy, unbundling, and rebundling.” MIS Quarterly, vol. 43.

Milind Dawande, Ganesh Janakiraman, Zhen Sun, Vijay Mookerjee, 2019. “Data-driven decisions for problems with an unspecified objective function.” Journal on Computing, vol. 31.

Yue Zhang, Jian-Yu Fisher Ke, Nan Hu, Ling Liu, 2019. “Risk pooling, supply chain hierarchy, and analysts’ forecasts.” Production and Operations Management, vol. 28.

Vijay Mookerjee, Milind Dawande, Ganesh Janakiraman, Manmohan Aseri, 2018. “Procurement policies for mobile-promotion platforms.” Management Science, vol. 64.

Srinivasan Raghunathan, Lusi Li, Jianqing Chen, 2018. “Recommender system rethink: implications for an electronic marketplace with competing manufacturers.” Information Systems Research, vol. 29.

Srinivasan Raghunathan, Young Kwark, Jianqing Chen, 2018. “User-generated content and competing firms product design.” Management Science, vol. 64.

Vijay Mookerjee, Yong Tan, Depngpan Liu, 2018. “When can ignorance be bliss: organizational structure and coordination in electronic retailing.” Information Systems Research, vol. 29.

Vijay Mookerjee, Dengpan Liu, 2018. “Advertising competition on the internet: operational and strategic considerations.” Production and Operations Management, vol. 27.

Mingzheng Wang, Yu Zhang, Zhengrui Jiang, Haifang Yang, 2018. “T-closeness slicing: a new privacy-preserving approach for transactional data publishing.” Journal on Computing, vol. 30.

Sarkar, Sumit, Menon, Syam, Mo, Jiahui, 2018. “Know when to run: recommendations in crowdsourcing contests.” MIS Quarterly, vol. 42.

Feng, Haiyang, Jiang, Zhengrui, Liu, Dengpan. “Quality, pricing, and release time: optimal market entry strategy for software-as-a-service vendors.” MIS Quarterly, 2018, vol. 42.

Bardhan, Indranil, Zheng, Zhiqiang, Ayabakan, Sezgin. “A data envelopment analysis approach to estimate it-enabled production capability.” MIS Quarterly, 2017, vol. 41.

Janakiraman, Ganesh, Sun, Zhen, Mookerjee, Vijay, Dawande, Milind. “Not just a fad: optimal sequencing in mobile in-app advertising.” Information Systems Research, 2017, vol. 28.

Ghoshal, Abhijeet, Lahiri, Atanu, Dey, Debabrata. “Drawing a line in the sand: Commitment problem in ending software support.” MIS Quarterly, 2017, vol. 41.

Mookerjee, Vijay, Cai, Yuanfeng, Jiang, Zhengrui. “How to deal with liars? Designing intelligent rule-based expert systems to increase accuracy or reduce cost.” Journal on Computing, 2017, vol. 29.

Nault, Barrie, Raghunathan, Srinivasan, Koh, Byungwan. “Is voluntary profiling welfare enhancing?” MIS Quarterly, 2017, vol. 41.

Raghunathan, Srinivasan, Cezar, Asunur, Cavusoglu, Huseyin. “Sourcing information security operations: the role of risk interdependency and competitive externality in outsourcing decisions.” Production and Operations Management, 2017, vol. 26.

Raghunathan, Srinivasan, Kwark, Young, Chen, Jianqing. “Platform or wholesale? A strategic tool for online retailers to benefit from third-party information.” MIS Quarterly, 2017, vol. 41.

Ray, Jyotishka, Samuel, Jayarajan, Menon, Syam, Mookerjee, Vijay. “The design of feature-limited demonstration software: choosing the right features to include.” Production and Operations Management, 2017, vol. 26.

Zhang, Jie, Hu, Nan, Pavlou, Paul. “On self-selection biases in online product reviews.” MIS Quarterly, 2017, vol. 41.

Zheng, Zhiqiang, Ayabakan, Sezgin, Kirksey, Kirk, Bardhan, Indranil. “The impact of health information sharing on duplicate testing.” MIS Quarterly, 2017, vol. 41.

Chen, Hongyu, Zheng, Zhiqiang, Ceran, Yasin. “De-biasing the reporting bias in social media analytics.” Production and Operations Management, 2016, vol. 25.

Hann, Il-Horn, Koh, Byungwan, Niculescu, Marius. “The double-edged sword of backward compatibility: the adoption of multigenerational platforms in the presence of intergenerational services.” Information Systems Research, 2016, vol. 27.

Janakiraman, Ganesh, Sun, Zhen, Mookerjee, Vijay, Dawande, Milind. “The making of a good impression: information hiding in ad exchanges.” MIS Quarterly, 2016, vol. 40.

Lee, Chul Ho, Geng, Xianjun, Raghunathan, Srinivasan. “Mandatory standards and organizational information security.” Information Systems Research, 2016, vol. 27.

Mookerjee, Vijay, Ceran, Yasin, Singh, Harpreet. “Knowing what your customer wants: improving inventory allocation decisions in online movie rental systems.” Production and Operations Management, 2016, vol. 25.

Xia, Hao, Dawande, Milind, Mookerjee, Vijay. “Optimal coordination in distributed software development.” Production and Operations Management, 2016, vol. 25.

Applicants should have at least a bachelor’s degree. Admission is based on grade point average, graduate examination test score (GMAT* or GRE), 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 December 16, it is best to complete the entire application process no later than December 15. While applications will be accepted after that date, applying after December 15 may significantly lower your chance of acceptance. Applications for admission can be made using the UT Dallas Graduate Application website.

* UT Dallas Naveen Jindal School of Management prefers the GMAT admission test, however, we gladly accept the GRE test as well.


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.

Master’s–Level Courses

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.

Research Papers

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).

PhD students must successfully complete the preliminary and qualifying examinations, respectively, to enter PhD candidacy. The area faculty will determine whether a student has successfully completed the exam requirements based on the student’s performance. Criteria to evaluate students may include results from the in-class written portion of the exams, quality of research papers and/or presentations, performance in special courses (e.g. seminar courses), satisfactory GPA as determined by area faculty, and other forms of assessment as required by the student’s area. An unsatisfactory performance in any one criteria for either the preliminary examination or the qualifying examination may result in dismissal from the program.


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.

Dissertation Proposal Defense

The Dissertation Proposal must be successfully defended at least one semester prior to the term of graduation. The requirements for the proposal defense should be discussed with the dissertation committee prior to scheduling the defense. Dissertation Proposal Defenses will be open to all faculty and PhD students of the Jindal School of Management.