Online DBA in Data Analytics (Bridge) – Qualitative

Bridge (Doctor of Business Administration: Data Analytics Qualitative Research)

Offered By: College of Doctoral Studies

The bridge for entrance into the Doctor of Business Administration with an Emphasis in Data Analytics (Qualitative) offers a strong foundation in preparation for your doctoral business and academic journey. This bridge to data analytics doctoral program is designed for visionary leaders who have earned a master’s degree in a field other than business administration and now seek to transform their career by completing an online DBA program at Grand Canyon University.

Build a Strong Foundation to Innovate the Future of Business

This qualitative bridge pathway, taken prior to your DBA data analytics program, provides you with the foundational prerequisites for your doctoral study, including coursework in accounting, finance, statistics and marketing. You will also receive foundational content in the design and use of relational databases.

Why Choose a Qualitative DBA Bridge

Students who complete the qualitative bridge DBA and enroll in the DBA with an Emphasis in Data Analytics (Qualitative) will gain in-depth insights into how and why people think, believe and behave in a certain way. An example of a qualitative data analytics study might include designing and conducting focus groups to better understand the factors that influence consumer product decisions. Based on the results, the student would provide commentary on how the encountered themes compare with previous studies and offer specific recommendations for future studies.

What Makes GCU a Leader in Online DBA Programs

GCU has designed its online DBA programs to focus instruction on the execution of sound research studies while offering a more profound knowledge of qualitative and quantitative research methodologies. Students will understand what makes a researchable topic, learn the role of a researcher, compare and contrast.

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TOTAL CREDITS & COURSE LENGTH:
Total Credits: 20
Online: 8 weeks
[More Info]
TRANSFER CREDITS:
Up to 12 credits or 1/3 of the total program requirements in transfer (whichever is less)
TUITION RATE:

Course List

Major:
20 credits
Degree Requirements:
20 credits

Core Courses

Course Description

This course is designed for students who are preparing for more advanced coursework in business but who have not had accounting in undergraduate work. Topics covered include the principles and practices of financial accounting, including the fundamentals of revenue recognition, the components of the balance sheet, and financial statement analysis. ?The course explores accounting theories using publicly traded companies and case studies.

Course Description

This course is designed for individuals who are preparing for more advanced coursework in accounting and is designed for students who have not had finance in undergraduate work. Topics covered include financial analysis, financial planning, asset evaluation, capital structure, and working capital management.

Course Description

The purpose of this course is to prepare students in mathematical, probability, and statistical concepts for their upcoming studies in quantitative methods. The course is intended for those students who have not had any prior statistical education, although students who have had statistics should also consider taking the course as a refresher.

Course Description

Management of the marketing function, market environmental analysis, and marketing planning, strategy, and control are fundamentals of marketing management. The course examines the marketing process, marketing research, product development innovation and diffusion, pricing strategy, distribution value drain, advertising and promotion, and strategic marketing issues. Emphasis is placed on case study analysis and current academic research with a marketing plan as a significant curriculum component.

Course Description

This course introduces the basic role and uses of databases within business enterprises. Students examine database design types, development, staging, production environments, and maintenance of a database structure. Emphasis is on appropriate application and implementation of database functions in relation to performing data analytics.

  • GCU cannot and will not promise job placement, a job, graduate school placement, transfer of GCU program credits to another institution, promotion, salary, or salary increase. Please see the Career Services Policy in the University Policy Handbook.
  • Please note that this list may contain programs and courses not presently offered, as availability may vary depending on class size, enrollment and other contributing factors. If you are interested in a program or course listed herein please first contact your University Counselor for the most current information regarding availability.
  • Please refer to the Academic Catalog for more information. Programs or courses subject to change

Locations

GCU Online Student


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