May 30, 2024  
National University Volume 86B-2 Catalog - April 2024 
    
National University Volume 86B-2 Catalog - April 2024

Doctor of Philosophy in Technology Management, PhD


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Doctor of Philosophy in Technology Management


Description of Program


Visionary leaders can help change an organization and bring about new innovations. In the Ph.D. program in Technology and Innovation Management, student scholar-practitioners will learn how to become such leaders and be champions for new technologies and positive change in public and private organizations. The Doctor of Philosophy (Ph.D.) program is a research-based program designed to prepare leaders for positions in the private and public sectors by enhancing knowledge and competencies appropriate to a leadership role in technology and innovation management, administration, and technology management. Upon completion of the Ph.D. program, students are expected to have broad knowledge in the fields of business and technology management and an understanding of at least one specialized area of study. 

Click here for potential career opportunities within the PhD-TM.

Learning Outcomes


The program learning outcomes for the Doctor of Philosophy in Technology Management degree:

  • Develop knowledge in technology and innovation based on a synthesis of current theories
  • Communicate with diverse audiences about theories, applications, and perspectives related to technology and innovation
  • Evaluate theories of ethics and risk management in computers and emerging technologies
  • Formulate strategies for managing technology and innovation in global organizations
  • Contribute to the body of theory and practice in technology management

Basis for Admissions


Admission to the Doctor of Philosophy in Technology Management program requires a master’s degree from a regionally or nationally accredited academic institution.

Degree Requirements


The University may accept a maximum of 12 semester credit hours in transfer toward the doctoral degree for graduate coursework completed at an accredited college or university with a grade of “B” or better.

The PhD-TM degree programs have the following graduation requirements:

  • A minimum of 48 credit hours of graduate instructions must be completed through the University
  • GPA of 3.0 (letter grade of “B”) or higher
  • Satisfactory completion of the PhD-TM Pre-Candidacy Prospectus
  • University approval of Dissertation Manuscript and Oral Defense completed
  • Submission of approved final dissertation manuscript to the University Registrar, including the original unbound manuscript and an electronic copy
  • Official transcripts on file for all transfer credit hours accepted by the University
  • All financial obligations must be met before the student will be issued their complimentary diploma

Fundamental Competencies


All PhD-TM students are required to demonstrate competency in these areas:

  • Graduate-Level Research Methods Competency– PhD-TM students are required to complete TIM-7211  , AND (TIM-7221    , TIM-7225  ), OR (TIM-7231   , TIM-7235  ), OR (TIM-7241   , TIM-7245  ) at the University.
  • Graduate-Level Statistics Competency – PhD-TM students are required to complete   at the University.
  • Computer Competency - Doctoral students are required to have computer skills necessary for completing a dissertation. Students must be able to prepare documents using advanced word processing skills (e.g., creation of tables and figures, headers and footers, page breaks, tables of contents, hanging indents). Students must use computer programs for the statistical analysis of data (e.g., SAS). Students must produce a computer-based presentation (e.g., PowerPoint) for their dissertation oral examination.

Dissertation Completion Pathway


The University’s mission is dedicated to assisting students in achieving their academic aspirations and helping them become valuable contributors to their community and profession. To support our mission, the University now offers a dissertation completion pathway for students who have successfully completed their doctoral coursework and achieved doctoral candidacy at a previous institution but were unable to complete their dissertation.  The University’s Dissertation Completion Pathway (DCP) offers a unique opportunity for students to complete their doctorate in one of the doctoral programs offered at the University (excluding the PhD in MFT, DMFT, and DNP). Students successfully meeting the entrance and application requirements will complete a minimum of 23 credit hours to earn their doctorate.

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Time to Completion


The University allows 7 years to complete all doctoral programs of 60 credits or less.

The median time to completion for this program is 49 months.

Time to completion varies depending upon the pace in which a student completes courses and the number of transfer credits accepted. As most students are working adults, balancing educational, professional, and personal commitments, our academic and finance advisors will work with you to develop a program schedule that works best for your needs.

Students following the preferred schedule designed by the Dean for this program, and applying no transfer credits, can expect to finish in as little as 39 months.

Dissertation Process


Faculty assists each Doctoral student to reach this high goal through a systematic process leading to a high-quality completed dissertation. A PhD dissertation is a scholarly documentation of research that makes an original contribution to the field of study. This process requires care in choosing a topic, documenting its importance, planning the methodology, and conducting the research. These activities lead smoothly into the writing and oral presentation of the dissertation.

A doctoral candidate must be continuously enrolled throughout the series of dissertation courses. Dissertation courses are automatically scheduled and accepted without a break in scheduling to ensure that students remain in continuous enrollment throughout the dissertation course sequence. If additional time is required to complete any of the dissertation courses, students must re-enroll and pay the tuition for that course. Continuous enrollment will only be permitted when students demonstrate progress toward completing dissertation requirements. The Dissertation Committee determines progress.

Course Sequence


The PhD program may be completed in a minimum of 60 credits. Additional credit hours may be allowed as needed to complete the dissertation research. If granted, additional courses will be added to the student degree program in alignment with the SAP and Academic Maximum Time to Completion policies. Students who do not complete their program in accordance with these policies may be dismissed.

The PhD in Technology Management requires six (seven if needed) core courses, six specializations, three research, pre-candidacy prospectus, and four dissertation courses for a total of 60 credit hours. 

**Students select one pair of research methods and directed research courses based on their own research proposal. 

The PhD in Technology Management requires the following courses for every specialization:

Computer Science Specialization


Students in the Computer Science specialization will research the design and function of computers from the inside out. This is a broad specialization, allowing students to research a wide variety of computer topics and to prepare for a range of technology leadership roles. Graduates will be able to use this in-depth knowledge to contribute to new computer science research and lead the innovative integration of computer technologies in their organizations.

Cybersecurity Specialization


As organizations are producing more and more data, the risks associated with possible data theft become even greater. Therefore, organizations must have leaders who know how to keep the data secure. Students in the Cybersecurity specialization will research the latest trends to stay ahead of would-be cyber attackers. Graduates will be well-prepared to anticipate and mitigate risks in managing and deploying data-intensive systems and to assume a variety of technology leadership roles in government, private organizations, and research institutions.

Data Science Specialization


Gathering and maintaining data is just one piece of effective use of data. Data Science is an emerging field that deals with making sense of the mountains of data organizations produce and turning them into actionable knowledge. The Data Science specialization prepares students to be leaders and researchers in this new and exciting field by studying the most up-to-date tools and emerging research in this area.

Engineering Management Specialization


This specialization is designed for leaders in all types of engineering and technology management fields. Students will research the latest tools and research involving assessing the potential of innovative ideas, protecting intellectual property, and bringing new ideas to fruition. Graduates will be able to use this knowledge to lead engineering and information systems initiatives and cutting-edge research in their organizations.

Information Systems Specialization


This specialization is designed for scholars who want to research new ways for computers to work together to maintain, store, and process information. Students will research a variety of topics in information systems and will prepare for a range of information technology leadership and research roles. Graduates will be able to use this in-depth knowledge to lead the innovative integration of information technologies and information systems in their organizations.

IT Project Management Specialization


This specialization prepares students with the knowledge needed to contribute to innovation in the conception, planning, implementation, and deployment of a variety of information technology-related projects. Students will study research and theories in leadership, risk, and management of multiple projects. Graduates will be prepared to assume management and research roles in project management and information technology.

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