Data Analytics Degree - Quantitative
What Is a Quantitative Doctor of Business Administration (DBA) With an Emphasis in Data Analytics?
GCU’s quantitative DBA with an Emphasis in Data Analytics focuses on interpreting numeric data by using statistical tools to clean data, assess reliability and analyze data. This program differs from our qualitative DBA with an Emphasis in Data Analytics, which focuses on examining events to better understand an observed phenomenon. Students enrolled in both of these programs must draft a written dissertation to showcase their findings.
Create, Interpret and Share Data With a DBA with an Emphasis in Data Analytics
Advance your knowledge of evidence-based theories and practices with Grand Canyon University’s online DBA with an Emphasis in Data Analytics degree. 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, our DBA in Data Analytics is designed for business executives, as well as industry and community leaders. Learners will begin the dissertation process right from the start, making use of 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
Our online DBA with an Emphasis in Data Analytics program follows a scaffolded curriculum with embedded research skills to support learners’ progression toward accomplished scholar-practitioners. Throughout our program, 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:
- 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 online However, learners are expected to participate in two or three five-day residencies at GCU’s campus in Phoenix. 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 DBA With an Emphasis in Data Analytics Degree?
Our DBA 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 related to this degree include:
- Chief executive officer
- Chief data officer
- Strategic innovation manager
- Business intelligence director
- Business intelligence solutions architect
- Data scientist
- Data engineer
Additionally, some individuals with a DBA with an Emphasis 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
Course Description
This course introduces doctoral learners to the principle elements of research, scholarly writing, and effective argumentation. Learners are made aware of the dispositions and expectations of doctoral researchers as well as the University’s overarching values and beliefs regarding research and the responsibility of scholars to contribute new knowledge to their respective fields of study. Learners begin the process of identifying a researchable dissertation topic and are acquainted with appropriate scholarly resources that support the development of the dissertation.
Course Description
In this course, learners are introduced to the critical reading of scholarly qualitative and quantitative literature at the doctoral level. Learners also explore the concept of synthesizing the scholarly literature to identify problems and problem spaces that emerge to form a researchable topic of study. The application of scholarly argumentation from the extant literature to defend the need for a research study is discussed.
Course Description
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.
Course Description
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
Course Description
In this course, learners are introduced to key components of qualitative and quantitative research designs and the means to critically appraise the application of research designs as observed in the scholarly literature. The University's core research designs are presented. Consideration is given to the initial selection and defense of a research design to address a problem that emerged from the extant literature.
Course Description
This residency allows learners to continue developing their skills as academic researchers. Learners will have hands-on experience applying quantitative and qualitative design principals to develop the foundational elements for their potential dissertation studies.
Course Description
This course provides an introduction to the sampling, data collection, and data analysis methods employed in qualitative and quantitative research designs. Learners explore the alignment of sampling, data collection, and data analysis methods to the research topic, research questions, and research design. The course positions learners to select qualitative or quantitative designs for their dissertation studies. Prerequisite: RES-831.
Course Description
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.
Course Description
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.
Course Description
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.
Course Description
In this course, learners explore the basic components of quantitative research design. Attention is given to variables, instrumentation, and sources of data. Reliability and validity of instrumentation is discussed in the context of GCU core quantitative research designs.
Course Description
In this course, learners interact with statistical tests and statistical analysis software in the context of designing a quantitative research study. Alignment of statistical tests to research questions, hypotheses and design is stressed as is determining the feasibility of a quantitative research study. Ethical aspects of research are discussed. Prerequisite: RES-842.
Course Description
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.
Course Description
In this residency, learners orally present and defend an expanded design of their preliminary dissertation research from RSD-851. Emphasis is placed on developing the quantitative dissertation. Practicum/field experience hours: None. RES-844.
Course Description
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.
Course Description
In this course, learners apply the skills of the practitioner-scholar. They are self-motivated and committed to reflective practice. They actively seek input from other scholars while continuing to design independent research under the guidance of the dissertation committee.
Course Description
In this course, learners focus on data collection, data preparation and management, and the analysis of quantitative data to produce written research findings, results, and implications. Learners continue to work with their respective dissertation chairs and apply information from this course to move ahead in the dissertation process. Prerequisite: RES-844.
Course Description
In this course, learners apply the skills of the practitioner-scholar. They are self-motivated and committed to reflective practice. They actively seek input from other scholars while continuing to design and/or conduct independent research under the guidance of the dissertation committee. Prerequisite: DBA-955.
Course Description
In this course, learners focus on the interpretation of quantitative data to produce written research findings, results, and implications. Learners continue to work with their respective dissertation chairs and apply information from this course to move ahead in the dissertation process. Prerequisite: RES-874.
Course Description
In this course, learners apply the skills of the practitioner-scholar. They are self-motivated and committed to reflective practice. They actively seek input from other scholars while continuing to design and/or conduct independent research under the guidance of the dissertation committee. Prerequisite: DBA-960.
Pursue a next-generation education with an online degree from Grand Canyon University. Earn your degree with convenience and flexibility with online courses that let you study anytime, anywhere.
Grand Canyon University’s evening programs cater to the demands of working professionals who prefer an in-person learning environment. Our night classes meet just once per week and offer the interaction and discussion of a typical college classroom.
* Please refer to the Academic Catalog for more information. Program subject to change.