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Doctorate of Philosophy, Information Technology (PhD IT)

Program Description

The Doctorate of Philosophy in Information Technology at University focuses on the advanced practice

role of the use of predictive analytics to identify cyber threats, employ big data analytics to improving healthcare, and

empower smart cities in making data-driven policy changes critical for societal well-being. This program is designed to meet

the aggressive demand for qualified data scientists in virtually every sector of the economy, with classes in computer

science, data intelligence, analytics, security, strategic planning, governance and global economy.

Students can earn the PhD, Information Technology in either a fully online format or an executive format combining online

and on-site study. The Executive format program requires attendance at weekend residency classes. Further, the Executive

PhD, Information Technology Program meets the needs of international graduate business students. This program provides

both in-seat and online coursework. Graduate students joining the Executive PhD, Information Technology program will be

employed or conduct projects in business-related positions and participate in Applied Learning Practicum, in which students

apply what they are learning in their program to the real world via work or internship experiences.

Program Sensitivity

While the program’s schedule requires considerable independent learning and preparation on the part of the candidate prior

to each session, the schedule nevertheless enables in-depth, active learning based on critical and reflective thinking. The

format allows assignments to be handled comfortably, while candidates maintain their continuing professional

responsibilities. The program is designed with an applied learning component that is an integral (essential) part of the

established curriculum. This allows students the opportunity to apply their studies to their place of employment.

PhD IT Program Requirements

Research Students will formally identify a dissertation topic and write the review of the literature in fulfillment of the

requirements for DSRT 736-Dissertation Seminar. The remaining sections of the first three chapters of the dissertation will

be written while enrolled in DSRT 839- Advanced Research Methods. Candidates will carry out their research to complete

the dissertation.

Comprehensive Exam Candidates sit for the Comprehensive Examination prior to enrolling DSRT 930. The specific

content, structure, and scheduling of this examination is determined by the Program Director. Tailored to each student’s

program of study, questions on the Comprehensive Examination are generated by the program’s four content-related goals:

• Goal 1: Expand information sciences through advanced study.

• Goal 2: Promote critical thinking and problem-solving skills to include leadership at the organizational and system level

and the ability to evaluate and improve the quality and safety of Information Sciences.

• Goal 3. Afford structured and supervised research experiences so that students develop the technical, conceptual and

communication skills that are required to conduct high quality, independent research.

• Goal 4: Provide training in basic and advanced information systems theory and practice so that students master the

technical and conceptual tools needed for conducting high quality research.

• Goal 5: Instill ethical leadership, service, and values

The Comprehensive Examination is normally completed in one four-hour session scheduled during the operating hours of

the department. It is graded by contributing members of program faculty, with passing marks required on all sections of the

examination before a candidate can graduate. A student failing any or all parts of the Comprehensive Examination has one

opportunity to retake these sections within one month of the original testing date. A student who fails the exam or a portion

of it a second time must sit out for 16 weeks before taking it a third time. Students failing the exam a third time must retake

relevant courses. Once the student has successfully retaken relevant courses, the cycle of testing begins anew.

The Dissertation

The dissertation is the capstone experience in the PhD program of Information Technology. A dissertation is a researchbased

project that may use a wide-range of statistical, quantitative, and qualitative methods. However, in the University’s

practitioner-focused program, the dissertation is conceived as a reality-based project in which the candidate engages in

authentic professional problem-solving to extend best practices in the field. Specific details on dissertation requirements are

included in the Dissertation Handbook.

All program features highlighted above combine to make the doctoral program at the University 

rigorous academic experience focused on strengthening the skills of information technology professionals.

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