Create, Interpret and Share Data with a Doctor of Business Administration: Data Analytics Degree
Advance your knowledge of evidence-based theories and practices with the Doctor of Business Administration with an Emphasis in Data Analytics degree from Grand Canyon University. This dynamic and innovative degree program empowers learners to enhance their leadership skills and meet the demands of 21st century business architecture.
Offered by the College of Doctoral Studies, this DBA in Data Analytics is designed for business executives and industry and community leaders. Learners will begin the dissertation process right from the start, making use of ongoing mentoring from fully qualified faculty members as they conduct original research and shape raw data into a polished academic dissertation.
Learn Techniques to Manage and Analyze Data
This Doctor of Business Administration data analytics degree follows a scaffolded curriculum with embedded research skills to support learners’ progression toward accomplished scholar-practitioners. Throughout, learners are encouraged to fine-tune critical thinking and analytical reasoning skills while exploring leadership styles and the principles of servant leadership. The values-based, transparent curriculum emphasizes the role of professional ethics and the Christian worldview as applied to industry settings. Learners will apply their knowledge of current business theories to complex case studies.
Some of the courses included with this program are:
- Analytic Foundations for Business Leaders
- Prescriptive Modeling for Business Decisions
- Approaches to Research Design and Data Analysis
- Emerging Issues in Financial Management
- Using Business Analytics for Competitive Advantage
Learners will begin by exploring the principal elements of research and scholarly writing before moving on to examine the theories and frameworks that drive financial decision-making in contemporary organizations. The curriculum examines timely issues that administrators face, including mergers and acquisitions, capital structure and corporate finance. Other core competencies for this program include the following:
- Develop a research question and conduct a systematic literature review
- Apply microeconomic principles to the solution of business problems
- Understand organizational sustainability through the lens of competitive advantage
- Understand conceptual and practical aspects of data collection, management and analysis
- Prepare to present scholarly work and to thoughtfully critique the work of others
This doctoral degree is available through online courses. However, learners are expected to participate in two or three five-day residencies on campus. These are conducted to enable learners to benefit from networking opportunities, peer feedback and intensive mentorship from faculty members.
What Can You Do with a Data Analytics Doctor of Business Administration Degree?
The Doctor of Business Administration with an emphasis is data analytics is the height of academic achievement in the business world. Graduates will advance their purpose for driving industry-wide change and leading their organizations into the future. Some jobs that may be related to this degree may include the following:
- Chief Executive Officer
- Chief Data Officer
- Strategic Innovation Manager
- Business Intelligence Director
- Business Intelligence Solutions Architect
- Data Scientist
- Data Engineer
In addition, some individuals with a DBA in Data Analytics may choose to enter academia, where they may contribute to the ever-growing field of business theory within postsecondary education.
Program Core Courses
This course introduces students to the principal elements of research and scholarly writing. Learners explore approaches to synthesizing literature and the application of the major components of APA form and style, and learn to coordinate literature searches. Furthermore, they learn how to discern principal arguments, analyze research questions, and clearly identify the key scholarly attributes to journal articles and other sources of scholarly data. This course also introduces learners to the University’s overarching values and beliefs regarding research and the responsibility scholars have in continuing a tradition of contributing to an ever-growing body of knowledge.
This course explores the theories and frameworks that drive financial decision making in organizations today. Students focus on issues facing administrators in the changing business environment.
Students will research the emerging use of business analytics in organizations. Through exploration of the available tools and models, this course will explore how analytics can be used for competitive advantage
This course addresses the foundations of data mining. The course provides tools and techniques to determine whether data is appropriate for analysis. Learners will interact with a multi-year integrated business case as a means of exploring applications of analytics.
This course provides a broad overview of foundational elements for conducting independent, original research. Qualitative, quantitative, and mixed research methods are introduced and applied. The template for developing a research prospectus is also introduced, with emphasis on identifying a researchable topic related to the learners’ degree specialization. Prerequisite: RES-811.
This residency allows students to begin developing their skills as academic researchers. Residency sessions address topics such as research question development, design, item generation, subscale development and analysis, and basic hypothesis testing. Students have hands-on experience with quantitative and qualitative analysis software.
This course addresses predictive modeling techniques that leverage enterprise data to create competitive advantage. Methods of creating and communicating predictive modeling solutions are also discussed.
This course is designed to train learners in the conduct of a systematic literature review related to their research topic. Emphasis is placed on creating structure for reading, analyzing, synthesizing, and organizing prior research necessary for drafting the first iteration (draft) of Chapter 2 of the dissertation. Learners use the research prospectus template to guide the development of their Chapter 2. Prerequisite: RES-850 or MGT-810 or RES-825.
This course provides the student with the skills and competencies needed to be able to apply microeconomic principles to the solution of business problems. Specifically, the course examines the four market structures focusing on competition and utilizes microeconomic theory to provide solutions to business problems.
This course examines organizational sustainability through the lenses of competitive advantage and innovation. It addresses the leadership skills and capabilities required to foster, lead, and sustain innovation in organizations, and it explores how these ideas can be applied to create competitive advantage leading to a sustainable organization.
This course provides learners with an overview of qualitative, quantitative, and mixed methods approaches with emphasis on conceptual and practical aspects of data collection, management, and analysis. Learners use their research prospectus to align the research question(s) and variables of interest with the appropriate data collection and analytical techniques. Prerequisite: RES-861.
This course provides a study of theories of probability, descriptive and inferential analyses of data, and testing of statistical hypotheses. Practical experience is provided in the application of statistical methods.
This residency prepares students to present their scholarly work and to thoughtfully critique the work of others. Students orally present papers developed in their own classes and respond to questions from colleagues. Students are further prepared to become active members in academic communities by learning how to review papers and provide comments.
This course addresses prescriptive modeling techniques that leverage previously gained predictive enterprise data to create competitive advantage. Technological and organizational supports for prescriptive modeling are discussed as are methods of communicating prescriptive modeling solutions.
Business is routinely using enterprise data to create competitive advantage. This course addresses the complexity of implementing enterprise data solutions and the related infrastructure considerations. In this course, learners will interact with a multi-year integrated business case to experience the complex interactions associated with exploiting enterprise data for competitive advantage.
Learners complete a cogent research prospectus as the foundation for their dissertation research proposal. Emphasis is placed on fully articulating a study design and methodology that is aligned with the research questions and developing the first iteration (draft) of Chapter 3 of the dissertation. Prerequisite: RES-855 or RES-866.
In this course, learners formalize their research proposal specific to their topic. Emphasis is placed on fully developing Chapter 1 and incorporating Chapters 2 and 3 (drafts) from previous research courses. This proposal becomes the first three chapters of the dissertation upon approval of the final draft by the College of Doctoral Studies. Prerequisite: RES-880.
One of the most essential aspects of bringing research findings to the scholarly community is mastering the discipline of approaching this task in an unbiased, benign manner. This course emphasizes the steps scholars must take in taking their findings and establishing a reporting mechanism that presents the outcomes of the research in a way that clearly articulates the fruits of the researcher’s labors without distracting or misinforming the audience. This work is typically done in chapter 4 of a dissertation. Also included in this content is the organization of data sets and the application of tables, charts, and graphs.
While chapter 4 focuses on the benign presentation of results, chapter 5 of the dissertation seeks to make sense of these findings in relationship to the overarching body of work that currently exists. Reflections include the synthesis of findings, comparing those findings to previous work done in the area; consideration of issues related to the research process used and the potential challenges and advantages of the approaches used; and thoughts on implications of these findings on the current body of work. In addition to this course content, students learn to present the opportunities for further research that might have emerged as a result of this work and the potential that lies ahead for others to follow. Prerequisite: DBA-955.
This course emphasizes the finalization of the dissertation and provides learners guidance for finding the appropriate venues and approaches in publishing their research findings. This includes the final steps necessary in pulling together what might have been earlier versions of chapters 1, 2, and 3, as well as the proofing and dissertation editing strategies that are required and the steps scholars can take to make sure their results are, in fact, shared with other scholars. This includes an exploration of writing research articles and preparing to present scholarly papers, as well as other publication venues. Prerequisite: DBA-960.