ÐßÐßÂþ»­

Gulhan Bizel, Ph.D., Director, Data Science Institute

The Doctor of Business Administration, a 60- credit degree program, is designed for professionals and scholars aiming to lead organizations, teach in academia, or drive innovation. With an emphasis on ethical leadership, digital transformation and practical research, this program blends academic rigor with hands-on learning. Graduates are equipped to lead executive-level decision making, apply analytics and AI responsibly, and teach and research at the collegiate level.

Program AvailabilityÌý

The DBA program is offered on an 11-week trimester schedule for both full-time and part-time study. Courses are available during Fall, Winter, Spring, and Summer trimesters. The program can be completed fully online modality as well.

Degree RequirementsÌý

The degree requires 60 semester hour credits. This includes 24 credits of core curriculum, 24 hours in a concentration (Organizational Leadership, AI and Ethics, or Business Analytics), and 12 credits of dissertation research and completion.

Advisement

ÐßÐßÂþ»­ assigns an academic advisor to every candidate.

Time Limitation

Students are expected to enroll continuously until their programs are completed.Ìý Students are required to maintain satisfactory academic progress by maintaining the required grade point average and accumulating sufficient credits within the stipulated time frame of five years. By federal regulation, F-1 international students must enroll as full-time students, so their time to completion will be considerably shorter.

Curriculum - Doctor of Business Administration

Core Courses (24 Credits)

These foundational courses equip students with critical knowledge and skills across key business domains:

· Ìý ÌýÌý ÌýGB-511: Management & Human Behavior (3 credits)

· Ìý ÌýÌý ÌýGB-622: Management Economics (3 credits)

· Ìý ÌýÌý ÌýAC-501: Managerial Accounting (3 credits)

· Ìý ÌýÌý ÌýDS-510: Introduction to Data Science (3 credits)Ìý

· Ìý ÌýÌý ÌýDS-660: Business Analytics (3 credits)

· Ìý ÌýÌý ÌýDS-650: Data Law, Ethics, & Artificial Intelligence (3 credits)

· Ìý ÌýÌý ÌýGB-530: Corporate Finance (3 credits)

· Ìý ÌýÌý ÌýEC-502: Advanced Microeconomics (3 credits)

Concentrations:

1. Organizational Leadership:ÌýThis concentration focuses on strategic decision-making, project management, and leadership skills:

· Ìý ÌýÌý ÌýGB-533: Enterprise Design Thinking (3 credits)

· Ìý ÌýÌý ÌýAC-520: Financial Accounting & Reporting (3 credits)

· Ìý ÌýÌý ÌýAC-541: Internal Controls / Sarbanes-Oxley (3 credits)

· Ìý ÌýÌý ÌýAC-543: Forensic Accounting / Internal Auditing (3 credits)

· Ìý ÌýÌý ÌýGB-567: Introduction to Project Management (3 credits)

· Ìý ÌýÌý ÌýGB-800: Executive Leadership Seminar (3 credits)Ìý

· Ìý ÌýÌý ÌýGB-801: Entrepreneurship & Innovation (3 credits)Ìý

2. AI and Ethics:ÌýExploring advanced AI technologies and ethical implications:

· Ìý ÌýÌý ÌýDS-631: Deep Learning (3 credits)

· Ìý ÌýÌý ÌýDS-665: Advanced Machine Learning (3 credits)

· Ìý ÌýÌý ÌýDS-801: Advanced Data Structures & Algorithms (3 credits)

· Ìý ÌýÌý ÌýDS-802: Natural Language Processing (3 credits)

· Ìý ÌýÌý ÌýDS-803: Optimization & Computational Linear Algebra (3 credits)

· Ìý ÌýÌý ÌýDS-807: AI Ethics & Large Language Models (3 credits)

· Ìý ÌýÌý ÌýDS-808: Advanced Research Seminar in AI Ethics (3 credits)

3. Business Analytics:ÌýFocusing on analytical tools and their applications in business decision-making:

· Ìý ÌýÌý ÌýGB-605: AI Applications in Business (3 credits)

· Ìý ÌýÌý ÌýDS-620: Data Visualization (3 credits)

· Ìý ÌýÌý ÌýDS-621: Business Analytics with Power BI (3 credits)

· Ìý ÌýÌý ÌýDS-687: Artificial Intelligence with IBM (3 credits)

· Ìý ÌýÌý ÌýDS-703: Practicum in Statistics (3 credits)

· Ìý ÌýÌý ÌýDS-800: Forecasting Methods for Business Decisions (3 credits)

· Ìý ÌýÌý ÌýDS-809: Machine Learning for Business Decision Making (3 credits)

Dissertation Qualifier (3 Credits)

· Ìý ÌýÌý ÌýDS-860: Comprehensive Examination – (1 Credit)

· Ìý ÌýÌý ÌýDS-870: DBA Dissertation Proposal - (2 Credit)

Dissertation Research (12 Credits)

Students will engage in advanced research, guided by faculty mentors, to develop and defend an original dissertation:

· Ìý ÌýÌý ÌýDS-871: Dissertation Seminar I (3 credits)

· Ìý ÌýÌý ÌýDS-872: Dissertation Seminar II (3 credits)

· Ìý ÌýÌý ÌýDS-873: Dissertation Seminar III (3 credits)

· Ìý ÌýÌý ÌýDS-874: Dissertation Seminar IV (3 credits)

Transfer Credits Policy

Students and alumni of ÐßÐßÂþ»­ University who have completed the MBA or any similar master programs may be eligible to transfer up to 18 graduate credits toward the Doctor of Business Administration (DBA) program. This accelerated pathway recognizes prior coursework and allows for a more efficient completion of the DBA. If you earned your MBA from another accredited institution, you may be eligible to transfer up to 12 graduate credits toward the DBA program, pending review and approval of the program director.

Prior Learning Credit

Matriculated students in the GSB graduate programs who meet specific eligibility requirements (GPA of 3.0 and at least 6 completed credits at ÐßÐßÂþ»­ University) can apply for credit for prior learning gained through work experience, certifications, and special accomplishments. A maximum of 6 credits can be earned through prior learning credit, and these credits cannot be combined with transfer credits. Learn more and apply for prior learning credit .