DBA - Data Analytics Specialization
The Doctor in Business Administration with a specialization in Data Analytics prepares students for careers in business education, consulting, and business leadership where data analytics is a core set of skills. Students will create new applications of knowledge and design solutions for real world management problems consistent with the Virtuous Business Model. Students will integrate forward-thinking virtuous leadership into global team-based business practices and into their personal and professional lives. The Virtuous Business Model will be used throughout the program.
The program is designed for practicing professionals who possess a master’s degree in business or technology or possess an advanced degree in another area of specialization. Students participating in this program desire additional study in order to expand and enhance their ability to contribute to their career path, company, and society. This program allows students to be engaged in working in a paid or non-paid position, (provided this employment is appropriate for a training opportunity, considering the goals and requirements of the degree program), which may include current employment in a full- or part-time professional position, participation in job shadowing, or participation in an internship. Additionally, the program provides a foundation for future employment to extend the academic experience with practical training as noted above.
The program also offers incoming Master of Science with a major in Management and a specialization in Data Analytics or a Master of Business Administration with a specialization in Data Analytics graduate students advanced standing toward the Doctor in Business Administration with a specialization in Data Analytics.
Graduates of the program will be able to:
- Integrate forward-thinking virtuous leadership into the global team-based business practice.
- Create ethical change management solutions and strategies for complex business problems.
- Synthesize advanced research in education, consulting, or business leadership into their doctoral practice.
- Create new knowledge for application in the global workplace.
- Integrate a virtuous worldview into both their personal and professional lives.
- Design solutions to real-world problems using data analytics and applications of theory or changes in present practice.
Admission Requirements
Requirements for admission to the Doctor in Business Administration with a specialization in Data Analytics are as follows:
- A Master's degree in a business discipline from a college or university that is accredited by an accrediting agency recognized by both the U.S. Department of Education (ED) and the Council for Higher Education Accreditation (CHEA) verified on original transcripts sent by the institution directly to Indiana Wesleyan University.
- A graduate grade point average (GPA) of 3.25 or higher from the graduate degree granting institution with at least five-years work experience in data analytics or technology. If an applicant's GPA is below 3.25, the student may be admitted on a probationary basis, as established by the guidelines of the DeVoe School of Business, Technology, and Leadership. The five year work experience is waived for alumni of an IWU degree in Master of Science with a Data Analytics Specialization or Master of Business Administration with a Data Analytics Specialization.
MGMT-601 is a pre-requisite for the Doctor of Business Administration Program. Students must complete this pre-requisite course with at least a grade of "B" by the end of the first term of the program. However, this requirement is waived for students who have a Bachelor’s or Master’s in business, business administration, accounting, finance, marketing, management, or other related discipline from a college or university accredited by an accrediting agency recognized by both the U.S. Department of Education (ED) and the Council for Higher Education Accreditation (CHEA).
Time Limit for Degree
The Applied Doctoral Project must be completed within six years after starting the program, which begins with BADM-701. A student who has completed coursework is required to remain continuously enrolled in BADM-759 or be terminated from the DBA Program. A student who has not completed their Applied Doctoral Project within the six-year period will be terminated from the DBA Program. Students nearing the end of the six-year period may be provided with a schedule of benchmark tasks that are required to be completed before the six-year deadline expires. Students who do not meet those benchmark tasks on schedule may be terminated from the DBA Program due to the insufficient time remaining to meet requirements.
Graduation Requirements
- Complete all credit-hours required in the curriculum sequence with a minimum GPA of 3.25 and a minimum grade of "B-" in each course. A grade of "C+" below will require the course to be repeated.
- Successful completion and approval of the doctoral project.
- Payment of all tuition and fees is required to receive a diploma.
DBA - Specialization in Data Analytics - Program of Study
Core Courses
| BADM-700 | The Craft of Academic Writing for Business | 4 |
| BADM-701 | Residency 1: The DBA Journey | 1 |
| BADM-702 | Foundations of Doctoral Research | 4 |
| BADM-703 | Virtuous Leadership and Global Based Teams | 4 |
| BADM-704 | Economic Analysis for Virtuous Leaders | 4 |
| BADM-705 | Virtuous Marketing | 4 |
| BADM-706 | Residency 2: Success Skills | 1 |
| BADM-707 | Data Analytics and Research | 4 |
| BADM-708 | Virtuous Business in a Global Marketplace | 4 |
| BADM-709 | Current Issues for the Virtuous Organization | 4 |
| BADM-711 | Residency 3: Presenting Doctoral Findings | 1 |
| BADM-792 | Applied Doctoral Project Assessment | 1 |
| BADM-785 | Comprehensive Exam | 1 |
| Total Credit Hours: | 37 |
Career Seminar Courses
Select one of the following:
| BADM-781 | Teaching Practice Seminar | 4 |
| BADM-782 | Leadership Practice Seminar | 4 |
| BADM-783 | Consulting Practice Seminar | 4 |
| Total Credit Hours: | 4 |
Specialization Courses - Data Analytics
| DTAN-705 | Data Visualization | 3 |
| DTAN-710 | Data Sources and Systems for Analytics | 3 |
| DTAN-715 | Big Data | 3 |
| DTAN-725 | Data Mining Concepts | 3 |
| DTAN-745 | Advanced Application of Data Analytics | 4 |
| DTAN-791 | Scholar-Practitioner Seminar: Data Analytics | 3 |
| Total Credit Hours: | 19 |
Total Credit Hours for Degree: 60
