
Information Systems Engineering and Management Ph.D.
Doctorate education focuses on enabling the student to make original contributions to their respective fields of study.
The Information Systems Engineering and Management Ph.D. Program creates information systems thinkers and leaders with the ability to add to the body of knowledge and practice in today’s and tomorrow’s academic, public, and private organizations.
There are two phases of the doctoral program at HU: an initial learning phase that can include coursework, seminars, research, and fieldwork that contributes to the student’s knowledge in the program of study; and a second research phase that focuses on the student’s original research culminating in his/her final dissertation defense. Upon a student’s defense of his/her dissertation as well as completion of all other milestones and graduate requirements, the student will be awarded the doctoral degree in his/her program of study.
Program Goals
The Information Systems Engineering and Management program will produce Ph.D. graduates who:
- Create original knowledge and understanding by contributing new theories, concepts, or new applications of existing theories to a discipline or area of professional practice;
- Advance research efforts and disseminate results to peers and the community including conferences, journal outlets, and/or internal organizational formats; and,
- Integrate theories and concepts through critical reflection, synthesis, and interpretation for solutions of private, public, national, or global problems.
Doctorate Program Admissions Process
The Information Systems Engineering and Management (ISEM) area of the Harrisburg University of Science and Technology is seeking applicants for the Ph.D. program in ISEM that can add to the diverse backgrounds and research interests of its current students. Ideal applicants should have a master’s degree in Information Systems Engineering, Information Systems, or a closely related field of study with prior coursework or a strong background in the following areas:
- Business strategy and management
- Information systems planning
- Artificial intelligence
- Systems analysis and design
- Enterprise architecture and systems integration
- Research and writing (leading to the production of a thesis or a scholarly publication)
A faculty admission committee will evaluate each applicant’s candidacy once all admissions materials have been received. The following are requirements in addition to those that are part of the general doctoral admissions requirements:
- GRE score in the 65th percentile or above in the Quantitative portion
- A minimum master’s degree GPA of 3.30 (GPA 3.50+ preferred)
Learn More: Graduate Admissions
Program Lead (INTERIM)

Glenn Mitchell, MD, MPH, CPE, FACEP Professor Emeritus
Program Courses
This program requires a total of 36-48 semester hours: 9-21 semester hours of graduate and doctoral Breadth courses (listed below), 9 semester hours of doctoral Depth courses, 6 semester hours of Doctoral Research Seminar, and 12 semester hours of the dissertation process. The semester hour value of each course appears in parentheses ( ).
Program News
Harrisburg University’s PhD student and Thesis Supervisor published Conference Paper in esteemed Springer Journal
Jai Keerthy Chowlur Revanna and his Thesis Supervisor Professor Nushwan Yousuf B. Al-Nakash are excited to share that their Conference…
Groundbreaking Vehicle Route Optimization Research by Harrisburg University Ph.D. Student Published
A research paper by a Harrisburg University of Science and Technology ISEM Ph.D. student has been published. The conference paper,…
HU Class of 2023: Celebrating Achievements, Experiential Education, and Career Success
Harrisburg University (HU) is proud to celebrate the achievements of its Class of 2023 graduates, who have excelled in their…
HU Students Present Innovative Research on Route Optimization at International Conference
A team of Ph.D. students from the Information System Engineering and Management program and Dr. Nushwan Yousif B. Al-Nakash, a…
Doctoral Student and Advisor’s Paper Published at IEEE Conference
Jai Keerthy Chowlur Revanna, a student in the Information Systems Engineering and Management Ph.D. program, and his thesis advisor, Dr. …
HU Professor’s Book Unlocks the Mysteries of Machine Learning with AI
Are you a decision-maker struggling to understand the basics of machine learning? Do you feel overwhelmed and lost by the…
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