DOCTORAL DEGREES

Doctor of Philosophy in Education

Accredited by

  • 12 research specializations
  • Dedicated dissertation support
  • Flexible for working professionals

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This program is designed to be completed within 45 months. However, students who pursue this program at an accelerated rate may be able to complete the program in as few as 26 months.

26 Months

60

$1,215

Why Get a Doctor of Philosophy in Education?

12 Specializations

Getting Started

Earning Your Degree

Review the required and concentration courses that support your academic growth and prepare you for future career opportunities.

This foundational course will introduce you to the concepts and practices of advanced graduate study. You will examine concepts and expectations of advanced graduate study and academic integrity as well as investigate best practices of scholarship and research. You will explore university resources and supports associated with student success, including technologies for learning and research. You will also evaluate the program process and requirements for success. Finally, you will advocate for self-care and reflection during your studies.

Academic writing is at the heart of scholarly writing. How you explore and navigate your topic of interest is both a personal and professional matter. In this course, you will integrate effective research and writing skills, and evaluate standards of academic writing, honesty, and integrity. Literature and writing are closely related, so this course also offers you a first chance to examine the elements of conceptual and theoretical frameworks and critique the role of supporting literature and inquiry with conceptual and theoretical frameworks. Finally, you will synthesize the frameworks commonly used in educational research.

This course builds on your foundational knowledge of instructional design with advanced practice. You will recommend instructional and training solutions based on existing assessment and evaluation data, formulate procedures for collaborative design projects with diverse stakeholders, and categorize legal, ethical, and political influences on the design of contemporary instructional and training solutions. You will develop instructional materials, including multimedia learning assets that comply with professional practice of instructional design and development.

In this introductory research course, you will explore the underpinnings of the research process, examine research paradigms, and investigate theoretical and practical foundations of qualitative and quantitative research methodologies used within educational research. You will identify criteria for the development of a quality research study that is ethical, accurate, comprehensive, cohesive, and aligned. Specific course topics will involve the ethics of conducting research; data collection and analysis techniques; and issues of feasibility, trustworthiness, validity, reliability, generalizability or transferability, and rigor. This course is intended to familiarize you with concepts and skills associated with conducting theoretical and applied research.

This course offers foundational knowledge to become a critical consumer of statistical- based research literature as well as develop the necessary skillset for non-inferential quantitative analyses. The emphasis will be on understanding multivariate data, non-inferential and inferential statistical concepts, the conventions of quantitative data analysis, interpretation and critical inferences from statistical results. Statistical computations will be completed using statistical software applications for quantitative data analysis. The course culminates in a synthesis project to demonstrate statistical skills and aligned with APA guidelines for presentation of statistical results.

This course focuses on qualitative research methodology and designs and the methods used to collect and analyze data in educational research. You will examine the principles of qualitative research and explore commonly used designs (also referred to as qualitative traditions or genres) with a focus on application and feasibility. Qualitative data collection and analysis methods will be examined for their suitability with regard to the research design selected. Alignment between qualitative designs and research methods, issues of trustworthiness pertaining to qualitative research, and the role and responsibilities of the qualitative researcher will also be explored.

This course explores the quantitative research methodology and associated designs and methods. You will examine paradigmatic perspectives along with the tenets and conventions of quantitative research. This examination of designs and methods will include topics such as feasibility, validity, reliability, variable operationalization, inferential designs, and analytic software applications used within the quantitative research paradigm. You will also explore the components of aligned and coherent quantitative research designs that support meaningful research within the field of education.

This course builds on a foundational understanding of qualitative designs and measurements to focus on analyses of the data. The course takes you deeper into the skills and techniques necessary to ensure the appropriate analyses of qualitative data, including integrating relevant frameworks, verifying trustworthiness of the findings, and selecting suitable methods to present the analyses and findings.

You will learn advanced statistical principles and how to apply them to quantitative research. You will be provided an overview of advanced statistical concepts used in empirical research, including inferential analyses. Advanced computations will be performed using SPSS. The focus involves helping you build independent scholarly skills with an emphasis on understanding multivariate data; the use, comprehension, and evaluation of sophisticated statistical concepts; and presentation of statistical results.

The doctoral comprehensive assessment for the Ph.D. is your opportunity to demonstrate your preparation for entering the dissertation phase as a doctoral candidate. Throughout this course, you will synthesize discipline-specific content with scholarly literature as you create a prospectus for a theoretically based research study focused on furthering knowledge in the field of education. Ph.D. research has a focus on contribution to theory, whereas Ed.D. research focuses on addressing a researchable problem that has practical applications. The two are similar in that they both apply the scientific method to collect data, analyze data, and present results. However, the results are given greater emphasis in terms of theory for the Ph.D. In the Ph.D. degree, you will therefore conduct research that contributes to the broader discipline rather than a specific problem rooted in an applied, professional practice. This prospectus will likely become the foundation of your Ph.D. dissertation. Note that you will take this course only after all foundation, specialization, and research courses have been completed.

In this course, students will complete Chapters 1 and 2 of their Dissertation Proposal. Chapter 1 includes a brief review of the literature with substantiating evidence of the problem, the research purpose and questions, the intended methodological design and approach, and the significance of the study, while Chapter 2 consists of the literature review, including the theoretical/conceptual framework. Completed and committee-approved (against the minimum rubric standards) Chapter 1 and Chapter 2 are required to pass this course successfully.

In this course, students will complete Chapter 3 and their Dissertation Proposal (DP). Chapter 3 includes the research methodology and design, population, sample, measurement instruments, data collection and analysis, limitations, and ethical considerations. Students will then assemble their Dissertation Proposal including all appendices necessary. A completed, committee-approved Chapter 3 and a final approved Dissertation Proposal (against the minimum rubric standards) are required by the end of the course.

In this course, students will prepare, submit, and obtain approval of their IRB application. After obtaining IRB approval, students will collect data and submit a data collection verification form when data collection is complete. Students will begin synthesizing collected data and analyzing results. IRB study approval and a completed data collection verification form are required by the end of the course.

In this course, students will complete Chapters 4 and 5, followed by their Dissertation Manuscript. Chapter 4 includes presenting study results aligned to the research design and research questions and/or hypotheses. Chapter 5 includes study implications, recommendations, and conclusions. Students will then compile and present findings in the completed Dissertation Manuscript and in an Oral Defense. A completed, committee-approved Chapter 5, Dissertation Manuscript, and successful Oral Defense (against the minimum rubric standards) are required to complete the course and graduate.

Career Impact

At NU, we believe education should open doors to new opportunities. Explore career paths, salary insights, and workforce demand related to this degree, and discover how your education can support your professional goals.

*Data Source: The career outcomes data presented is sourced from Lightcast, which provides insights based on real-time job postings, public datasets, and analytics. Lightcast derives its data from sources such as the Bureau of Labor Statistics (BLS), the Quarterly Census of Employment and Wages (QCEW), and the Occupational Employment Statistics (OES). While accurate and reliable, this data reflects general labor market trends and may not represent individual outcomes or specific local conditions. For more details on Lightcast’s methodology, visit their Data Overview.

Professional Pathways

      *Data Source: The career outcomes data presented is sourced from Lightcast, which provides insights based on real-time job postings, public datasets, and analytics. Lightcast derives its data from sources such as the Bureau of Labor Statistics (BLS), the Quarterly Census of Employment and Wages (QCEW), and the Occupational Employment Statistics (OES). While accurate and reliable, this data reflects general labor market trends and may not represent individual outcomes or specific local conditions. For more details on Lightcast’s methodology, visit their Data Overview.

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      Program Disclosure

      Successful completion and attainment of National University degrees do not lead to automatic or immediate licensure, employment, or certification in any state/country. The University cannot guarantee that any professional organization or business will accept a graduate’s application to sit for any certification, licensure, or related exam for the purpose of professional certification.

      Program availability varies by state. Many disciplines, professions, and jobs require disclosure of an individual’s criminal history, and a variety of states require background checks to apply to, or be eligible for, certain certificates, registrations, and licenses. Existence of a criminal history may also subject an individual to denial of an initial application for a certificate, registration, or license and/or result in the revocation or suspension of an existing certificate, registration, or license. Requirements can vary by state, occupation, and/or licensing authority.

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