Advance your career and make a difference in your patients' lives with the help of our online PhD in Nursing degree program.
Walden offers students who hold a Doctor in Nursing Practice degree (DNP) a shorter path to the PhD in Nursing.
Recognizing your previous academic progress, we will apply up to 26 credits toward your doctoral program, significantly reducing the time to completion and your total costs. The accelerated program builds on your current knowledge and experience with scholarly research and relevant coursework that will further prepare you for leadership positions in nursing administration, policy, or academia.
Walden students have up to 8 years to complete their doctoral program unless they petition for an extension.
In general, students are continuously registered in the dissertation/doctoral study course until they complete their capstone project and it is approved. This usually takes longer than the minimum required 5 terms in the dissertation/doctoral study course shell.
To complete a doctoral dissertation, students must obtain the academic approval of several independent evaluators including their committee, the University Research Reviewer, and the Institutional Review Board; pass the Form and Style Review; gain approval at the oral defense stage; and gain final approval by the Chief Academic Officer. Students must also publish their dissertation on ProQuest before their degree is conferred. Learn more about the dissertation process in the Dissertation Guidebook.
This sequence represents the minimum time to completion. For a personalized estimate of the number of your transfer credits that Walden would accept, call an enrollment advisor at 855-646-5286.
|Course Code||RSCH 8110||Course||Research Theory, Design, and Methods||Credits||(5 cr.)|
|Course Code||RSCH 8210||Course||Quantitative Reasoning and Analysis||Credits||(5 cr.)|
|Course Code||RSCH 8310||Course||Qualitative Reasoning and Analysis||Credits||(5 cr.)|
|Research Elective - choose one|
Advanced Quantitative Reasoning and Analysis
Advanced Qualitative Reasoning and Analysis
Advanced Mixed-Methods Reasoning and Analysis
In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed-methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.
In this research course, students are provided with the opportunity to develop core knowledge and skills for designing and carrying out quantitative research at the doctoral level, including the application of statistical concepts and techniques. Students explore classical common statistical tests, the importance of the logic of inference, and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to derive statistics from quantitative data and interpret and present results. (Prerequisites: RSCH 8110 or RSCH 7110 or RSCH 6110.)
Students in this research course are provided with the opportunity to develop basic knowledge and skills for conducting qualitative research at the doctoral level. Students explore the nature of qualitative inquiry, how theory and theoretical and conceptual frameworks uniquely apply to qualitative research, data collection procedures and analysis strategy, and how the role of the researcher is expressed in the ethical and rigorous conduct of qualitative research. Students practice collecting, organizing, analyzing, and presenting data, and they develop a detailed research topic for conducting a qualitative study. (Prerequisites: RSCH 8110 or RSCH 7110 or RSCH 6110.)
Students in this research course build upon knowledge and skills acquired in the prerequisite quantitative reasoning course and are presented with opportunities to apply them. They are provided with more specialized knowledge and skills for conducting quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts, such as factorial ANOVA, mediation, moderation, logistic regression, ANCOVA, and MANOVA. Students explore existing datasets and apply suitable statistical tests to answer research questions with social change implications. In this course, they approach statistics from a problem-solving perspective with emphasis on selecting the appropriate statistical tests for more complex research questions and social problems. Students use statistical software to perform analyses and interpret and present results. They will apply and synthesize their knowledge and skills by carrying out a quantitative research project. (Prerequisites: RSCH 8110.)
Students build upon the knowledge and skills acquired in RSCH 8310 - Qualitative Reasoning and Analysis. and have experience applying them. Students develop a more sophisticated understanding of the theoretical antecedents and practical applications of eight contemporary qualitative approaches. Students gain experience developing qualitative interview guides, collecting data, and managing the process from transcription through analysis. The unique challenges of confidentiality and ethical issues are explored as well as implications for social change. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan using a topic relevant to their capstone.
Students build upon knowledge and skills acquired in RSCH 8210 - Quantitative Reasoning and Analysis and RSCH 8310 - Qualitative Reasoning and Analysis for more specialized knowledge and skills to design mixed-methods research at the doctoral level. Students are provided with more specialized knowledge and skills for designing mixed-methods research at the doctoral level. They gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question(s). The emphases of this course are on integrating quantitative and qualitative elements into true mixed-methods studies, practice in data analysis, and integration of qualitative and quantitative data within a research write-up. Students will apply and synthesize their knowledge and skills by developing a mixed-methods research plan that incorporates qualitative and quantitative elements appropriately. (Prerequisites: RSCH 8110 or RSCH 7110 or RSCH 6110 and RSCH 8210 or RSCH 7210 or RSCH 6210 and RSCH 8310 or RSCH 7310 or RSCH 6310.)
|Course Code||NURS 8250||Course||Advanced Theoretical and Scientific Perspectives in Nursing||Credits||(5 cr.)|
|Course Code||NURS 8551||Course||Preparing for Dissertation||Credits||(5 cr.)|
Students in this course focus on the sufficient formal and informal learning experiences to build scientific depth in an identified area of study. Students gain the competencies to critique, utilize, and integrate different theoretical and scientific perspectives for the conduct of research, including team science, to generate new ideas based on a critical evaluation of existing knowledge. Attention is given to integration of the components of scholarship, research, teaching, mentoring, and service to the profession gained from understanding the theoretical/scientific underpinnings of nursing and other disciplines.
The focus of this course is on the preparation for the dissertation phase of training. In this course, students identify a dissertation topic and potential dissertation committee members; begin to conduct a literature review; develop a problem statement and research questions; and evaluate research designs, methods, and types of analyses to use for their dissertation. Students also complete their initial premise in this course and an annotated outline of their prospectus.
Choose from any of the 5 focus areas: Education, Healthcare Admin, Interdisciplinary Health, Leadership or Population Health
|Course Code||DRWA 8000||Course||Doctoral Writing Assessment||Credits||(0 cr.)|
This course is part of Walden's commitment to help prepare students to meet the university's expectations for writing in courses at the doctoral level. In this course, students write a short academic essay that will be scored by a team of writing assessors. Based on the essay score, students will be guided toward any further recommended or required writing support needed to meet writing proficiency standards. This required course is free. Students will be enrolled automatically in it after they complete their first term of their doctoral program.
|Course Code||NURS 9000||Course||Dissertation||Credits||(5 cr. per term for a minimum of 4 quarters until completion)|
In this course, doctoral students have the opportunity to integrate their Program of Study into an in-depth exploration of an interest area that includes the completion of a research study. Students complete the dissertation independently, with the guidance of a dissertation supervisory committee chair and committee members, in a learning platform classroom in which weekly participation is required. Students complete a prospectus, proposal, Institutional Review Board application, and dissertation.Students take this course for a minimum of 4 quarters and are continuously enrolled until completion of their Dissertation with final Chief Academic Officer (CAO) approval.To complete a dissertation, students must obtain the academic approval of several independent evaluators including their committee, the University Research Reviewer, and the Institutional Review Board; pass the Form and Style Review; gain approval at the oral defense stage; and gain final approval by the Chief Academic Officer. Students must also publish their dissertation on ProQuest before their degree is conferred. Learn more about the dissertation process in the Dissertation Guidebook.
*Note: The number of credits eligible from non-Walden University DNP degrees may be different based on Walden Admissions evaluation. Time to completion and cost are not estimates of individual experience and will vary based on individual factors applicable to the student. Factors may be programmatic or academic, such as tuition and fee increases; transfer credits accepted by Walden; program or specialization changes; unsuccessful course completion; credit load per term; part-time vs. full-time enrollment; writing, research, and editing skills; use of external data for the doctoral study/dissertation; and individual progress in the program. Other factors may include personal issues such as the student’s employment obligations, caregiving responsibilities, or health issues; leaves of absence; or other personal circumstances.
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