The Doctor of Business Administration (DBA) in Artificial Intelligence and Machine Learning is a professional doctoral degree designed for senior professionals and executives seeking to translate advanced AI and ML research into strategic business solutions. Unlike a PhD, which is theoretical and geared toward academia, the DBA is applied and focuses on solving complex, real-world organizational problems. This program equips leaders with the deep technical knowledge of AI/ML and the research skills to conduct rigorous, evidence-based investigations that drive innovation, optimize operations, and create competitive advantage at the highest level of business strategy.
The DBA in Artificial Intelligence and Machine Learning prepares executives, innovators, and scholar-practitioners to lead organizations in the strategic adoption, governance, and business application of AI and ML. Graduates will bridge the gap between cutting-edge technologies and business value creation, ensuring responsible and innovative use of AI in global enterprises.
Prepares executives to align AI/ML with business growth, strategy, and transformation
Dissertation projects address real-world AI/ML challenges in finance, healthcare, logistics, and beyond
Combines business administration with advanced AI/ML strategies
Graduates will be prepared for roles as Chief AI Officer (CAIO), AI Strategy Consultant, Innovation Director, Policy Advisor, or Professor of AI & Business
Our comprehensive curriculum is structured into different blocks. Each block combines theoretical foundations and practical applications:
| Code | Course title | Credits | Type |
|---|---|---|---|
| DBA 701 | Foundations of Business Research & Inquiry | 3 | Core |
| DBA 702 | Leadership Theory & Organizational Innovation | 3 | Core |
| DBA 703 | Global Business Strategy & Policy | 3 | Core |
| DBA 704 | Corporate Finance, Risk & Strategic Investment | 3 | Core |
| DBA 705 | Ethics, Governance & Responsible Leadership | 3 | Core |
| DBA 706 | Advanced Quantitative & Qualitative Research Methods | 3 | Core |
| Credits required: 18 | |||
| Code | Course title | Credits | Type |
|---|---|---|---|
| DBA 790 | Dissertation Proposal Development | 3 | Core |
| DBA 791 | Dissertation Research I | 3 | Core |
| DBA 792 | Dissertation Research II | 3 | Core |
| DBA 793 | Dissertation Defense & Publication | 3 | Elective |
| Credits required: 12 | |||
| Code | Course title | Credits | Type |
|---|---|---|---|
| DBA 771 | Artificial Intelligence for Business Leaders | 3 | Core |
| DBA 772 | Machine Learning Applications in Business | 3 | Core |
| DBA 773 | Natural Language Processing & Automation Strategy | 3 | Core |
| DBA 774 | Responsible AI: Ethics, Governance & Policy | 3 | Core |
| DBA 775 | AI-Driven Innovation & Emerging Business Models | 3 | Core |
| Credits required: 15 | |||
| Code | Course title | Credits | Type |
|---|---|---|---|
| DBA 731 | Seminar in Applied Research & Publication | 3 | Core |
| DBA 732 | Seminar in Case Studies & Consulting Methods | 3 | Core |
| DBA 733 | Doctoral Colloquium & Conference Presentation | 3 | Core |
| Credits required: 9 | |||
| Component | Credits |
|---|---|
| Doctoral core | 18 |
| Doctoral dissertation | 12 |
| AI & ML specialization | 15 |
| Doctoral Research seminars | 9 |
| Total credits: 54 | |
Graduates of this program have pursued various rewarding career paths:
A C-suite executive responsible for the overall AI strategy, vision, and execution across the entire organization
A senior advisor (often in a top consulting firm or independent practice) who guides multiple organizations on their AI transformation journeys
Lead research and development initiatives within a corporation, exploring new AI applications to create new products, services, or business models
To be considered for admission, applicants must meet the following requirements: