Online Doctorate (DBA) in Artificial Intelligence (AI/ML) Program
The Online Doctorate (DBA) in Artificial Intelligence (AI/ML) helps senior professionals and tech leaders build advanced skills. The program prepares them to lead innovation, resilience, and impact at the boardroom level.
12-24
Months Duration
100%
Online
45%
Scholarships & Feed
- Duration: 12–24 Months
- Mode: 100% online
- Scholarships & Fees: Up to 45% Scholarship + EMI Options Available
Speak to Program Advisor
Program Highlights
Alumni Network: Worldwide Network of CXOs, Technologists, and Consultants.
Thesis Support: Full guidance on industry-focused Artificial Intelligence (AI/ML) research and publications.
Research Papers: Assistance for publishing in SCOPUS/IEEE journals and boosting citations on Google Scholar, ResearchGate, and similar platforms.
Academic Outcome: Earn the prestigious ‘Dr.’ prefix and global recognition with an online doctorate (DBA) in Artificial Intelligence (AI/ML).
Career Outcome: Boardroom opportunities, consulting roles, and digital branding for thought leadership.
Doctorate (DBA) Program Cost
USD $8500
45%
Merit-Based Scholarship Available
Scholarship Opportunity
Granted to senior tech professionals based on leadership depth, career trajectory, and visibility potential.
Eligibility Criteria
Online Doctorate (DBA) in Artificial Intelligence (AI/ML) Course Requirements
The online doctorate (DBA) program in Artificial Intelligence (AI/ML) is for experienced professionals. It helps them combine leadership, research, and strategic skills in AI/ML.
Educational Background
Educational Background A Master’s degree (MBA/M.Sc./M.Tech) or equivalent degree in IT, computer science, business, or related field. Applicants with Bachelor’s degrees and proper career experience can also be considered.
Professional Experience
Professional Experience - At least 8+ years of management experience or leadership experience in IT, Artificial Intelligence (AI/ML), digital transformation, or technology-related roles.
- Candidates holding senior positions like CISO, CIO, CTO, IT Director, Project Manager, or Consultant are preferred.
- Those aspiring for a C-suite leader wish to build a strong leadership authority.
- Those willing to improve their research skills, and bridging the gap between industry & academia and wish to explore opportunities in academia with industry exposure.
International Applicants
International Applicants It is open to professionals of all geographies, and the program is conducted online, making it globally accessible for all.
Motivation & Leadership Potential
Motivation & Leadership Potential Use the doctorate as a means of personal branding, thought leadership, and professional advancement.
Advanced AI leadership: 50% Board-level reporting
Other Doctorate (DBA) Concentrations
Benefits of enrolling Doctorate of Business Administration (DBA) in Artificial Intelligence (AI/ML)
The benefits of a DBA degree include leadership growth and strategic expertise. A Doctorate in Artificial Intelligence (AI/ML) also enhances career value compared to many traditional research-focused doctorates. It highlights the strong professional and financial rewards of advanced qualifications.
Boardroom-Level Expertise
Boardroom-Level Expertise 
Future-Proof Leadership
Future-Proof Leadership Be ready to address AI-driven risks, digital challenges, and governance issues.
Global Career Opportunities
Global Career Opportunities Prepare for roles such as CIO, CDO, or AI/ML Advisor worldwide.
Research-Driven Authority
Research-Driven Authority Publish insights on AI/ML trends and establish yourself as a thought leader.
Stronger Digital Brand
Stronger Digital Brand 
Policy & Governance Influence
Policy & Governance Influence Shape AI/ML frameworks and contribute to international standards.
Consulting Rate Increase : $150/hr
Learn More About the Online Doctorate in AI/ML Program
- Strategic Risk Management – Learn to identify, evaluate, and manage risks across the enterprise.
- Advanced AI/ML Frameworks – Gain mastery of AI/ML models, analytics frameworks, and best practices.
- AI & Emerging Tech Applications – Apply AI, ML, and automation to solve real-world business and security challenges.
- Leadership & Policy Influence – Develop skills to guide executives, shape policies, and strengthen organizational resilience.
- Research & Analytical Rigor – Conduct high-level research and publish findings on AI/ML innovations.
- Digital Branding & Thought Leadership – Build authority in AI/ML through publications, presentations, and executive visibility.
- CISOs, CIOs, and CTOs – Security and tech leaders aiming to take ownership of AI/ML governance and enterprise strategy.
- Senior IT & Security Managers - Professionals who want to influence boardroom decisions and policy-making.
- AI/ML Consultants & Advisors – Experts seeking to elevate their credibility with a doctoral-level qualification.
- Researchers & Scholars – Individuals passionate about advancing AI/ML knowledge through research and publications.
- Tech Entrepreneurs & Innovators – Entrepreneurs developing AI/ML products, platforms, or advisory services.
- Government & Policy Professionals – Professionals in national security, cyber law, or regulatory roles seeking research-driven insights.
- From Analyst → To Chief Data & Analytics Officer – Moving from data analysis to driving enterprise-wide AI-powered decision-making.
- From Security Lead → To Enterprise Risk & AI Governance Head – Evolving from operational risk management to overseeing AI-driven governance and compliance.
- From Entrepreneur → To AI/ML Innovator & Founder – Scaling from product development to leading AI/ML startups and strategic platforms.
- From Researcher → To Policy & Thought Leader – Expanding from academic research to influencing global AI/ML policies and standards.
Outcome: With a DBA, you don’t just secure systems — you secure influence, visibility, and authority at the boardroom and industry level.
- AI/ML Frameworks – TensorFlow, PyTorch, Keras for building and deploying models.
- Data Analytics & Visualization – Python, R, SQL, Tableau, Power BI for insights and reporting.
- Cloud & Big Data Platforms – AWS, Azure, GCP, Hadoop, Spark for scalable AI solutions.
- Automation & MLOps Tools – Kubeflow, MLflow, Airflow for AI/ML workflow management.
- Security & Monitoring Tools – Firewalls & IDS/IPS like Palo Alto, Snort, Suricata to monitor and block threats.
- Collaboration & Version Control – Git, GitHub, Jira for project management and team coordination.
IMET Worldwide's Online Doctorate in AI/ML Program
Our Online Doctorate Degree Program in Artificial Intelligence (AI/ML) - Testimonials
Group CIO | CDO | CTO | Mentor & Advisor
Partner, Saga Technologies
Global Service Delivery Manager | DBA | PRINCE2® | Safran Group
Project/Practice Director – Digital Transformation & IT Security
Doctorate (DBA) – Healthcare (AI & RPA Focus)
Ph.D. (CS), DBA, MCA, MBA, M.Tech, ISB Global CIO, Independent Director
IT Strategist – Data, Digital Transformation, Governance & Analytics
Founder & CTO, CyberAi Technologies | Doctorate in Cybersecurity
CISO & AVP – IT Infrastructure
CEO | CIO | CTO | AI & Digital Transformation Evangelist
CIO – Western International Group & Nesto Group
Salesforce Application Architect | AWS Certified | Digital Transformation Specialist
ASVP – Technology, Leading NBFC in India
Chief Technology Officer
About IMET Worldwide
At IMET Worldwide, learning goes beyond classrooms. We transform your career story through global mentoring and expert guidance, supported by scholarships and flexible EMI options. With structured academic support, you earn your doctorate while publishing research in internationally indexed journals and strengthening visibility and citations through Google Scholar and Research Gate. We also reshape your professional identity, from LinkedIn and articles to PR, podcasts, and personal websites. Guided by expert mentors, you move from simply posting to being recognized, followed, and featured.
- Globally recognized and professionally valued.
- Issued under an accredited and affiliated framework.
- Unique ID for easy verification worldwide.
- Eligible for MHRD, MCA, and Embassy attestation.
- Highlights your chosen specialization (e.g., Cybersecurity, AI).
- Symbol of academic excellence and leadership credibility.
Our key highlights are:
Curriculum (12-24 Months)
Doctorate (DBA) in Artificial Intelligence (AI/ML)
Term 1: Core Research foundations strategy
- Research Methodology – Learn qualitative and quantitative research methods for AI/ML.
- Research Ethics & Integrity – Understand data governance, IRB approvals, and ethical AI practices.
- Academic Writing & Publishing – Target journals and conferences, handle reviewer feedback.
- Citation & Research Software – Use reference managers and reproducible workflows.
Term 2: Emphasis on DBA in Artificial Intelligence (AI/ML)
- AI/ML Governance, Risk & Compliance – Learn frameworks like NIST, ISO for AI systems.
- AI & Emerging Technology Applications – Explore AI, ML, and blockchain in business solutions.
- Cloud, Network & Application Security – Understand security for AI/ML deployments.
- Threat Intelligence & Digital Forensics – Analyze threats and investigate AI/ML system breaches.
- Regulatory & Policy Perspectives – Study AI/ML regulations, policies, and ethical standards.
Term 3: Thesis completion + viva + dissemination
- Proposal → Confirmation: proposal drafting, panel review, status “transfer/confirmation”
- Execution: literature review, data collection, analysis, iterative writing
- Submission & Defense: pre-submission checks, examiners appointed, viva/defense.
Research Steps
Our Doctorate(DBA) online program is designed to guide you through each essential stage of academic and professional development
Step 1: Selection and Finalization of Title
The journey begins with choosing and refining a research title that aligns with your professional background, field of interest, and the program’s focus on Artificial Intelligence (AI/ML). This step ensures that your research problem is clearly defined, relevant, and impactful within the domain of Artificial Intelligence (AI/ML) and AI.
Step 2: Research Proposal / Synopsis
Once the topic is finalized, you will develop a comprehensive research proposal or synopsis. This includes outlining the research objectives, methodology, and expected outcomes. The proposal undergoes mentor review and approval to ensure academic and industry relevance.
Step 3: Coursework Preparation and Assessment
This stage involves completing structured coursework modules that provide the necessary academic foundation. These modules cover Artificial Intelligence (AI/ML) frameworks, AI applications, research methodologies, and business strategy. Regular assessments and evaluations prepare you for the thesis phase.
Step 4: Research Paper Creation and Publication
Under 1:1 mentorship, you will create and publish research papers in reputed international journals or conferences. This not only strengthens your research credentials but also builds your digital visibility and industry authority.
Step 5: DBA Thesis Preparation and Submission
The final stage involves developing a comprehensive thesis based on your applied research. Detailed guidance is provided for drafting, editing, and formatting to meet academic standards before final submission and defense.
Step 6: Conferment of DBA Certificate
Upon successful completion and approval of the thesis, you will be awarded the Doctor of Business Administration (DBA) in Artificial Intelligence (AI/ML), along with the prestigious ‘Dr.’ prefix, marking the culmination of your research and leadership journey.
Our Alumni at Top Organizations
Our Doctorate in Artificial Intelligence(AI/ML) program alums work in several regions. Global CXOs, tech leaders, and Artificial Intelligence(AI/ML) consultants have transformed their careers with the DBA from IMET Worldwide
Frequently Asked Questions (FAQs) - Online doctorate in Artificial Intelligence (AI/ML) Certificate Program
Program Related
The DBA in AI/ML is a doctoral program designed for experienced professionals. It combines leadership, research, and strategic expertise in Artificial Intelligence and Machine Learning. The program equips you to lead AI/ML initiatives, drive enterprise-wide innovation, and influence policy and governance in technology-driven organizations.
The DBA in AI online is for experienced professionals aiming to lead AI/ML strategies. It suits senior IT and security managers, CISOs, CIOs, consultants, researchers, tech entrepreneurs, and policy professionals who want to advance their leadership, research, and strategic impact in AI/ML.
The program typically takes 12 to 24 months, depending on the pace of research and thesis completion. Flexible timelines are available to suit working professionals.
Yes, the DBA in Artificial Intelligence (AI/ML) is 100% online, with 1:1 mentor support, online learning modules, and guided thesis development for global learners.
No, prior research experience is not required. The program includes mentorship, structured coursework, and step-by-step guidance to help you develop a strong thesis and research publications.
Graduates earn a doctorate degree in artificial intelligence, gain executive branding, publish international research papers, and enhance their digital visibility as recognized thought leaders.
Candidates should hold a Master’s degree (or equivalent) and have 8+ years of professional or managerial experience in IT, Artificial Intelligence (AI/ML), or related fields. Senior professionals without a master’s but with substantial experience may also be considered.
Yes, the program offers up to 40% scholarships and flexible EMI options to make the doctorate more accessible for working professionals.
Yes, the program provides complete assistance in creating and publishing research papers in international journals, conferences, and digital platforms to build your credibility.
Graduates often advance to board-level roles, global consulting opportunities, keynote speaking engagements, and leadership positions in Artificial Intelligence (AI/ML), backed by the credibility of a doctoral degree.
Institute Related
IMET Worldwide is a global institute offering advanced professional programs, including the Doctorate in Business Administration (DBA). Our programs are designed for working professionals who want to strengthen their leadership, academic, and industry influence.
Yes. IMET offers a fully online DBA program that ensures flexibility and handsome doctorate in business salary for professionals while maintaining structured, faculty-led sessions (not self-paced recordings).
The doctorate in machine learning and AI can typically be completed within 12 to 24 months, depending on the research timeline and progress of the scholar.
Our DBA stands out because it is research-driven, globally recognized, not self-paced, and supported by active mentorship. We also integrate real-world business challenges into research, making it directly impactful for careers.
Doctorate in generative AI is open to senior professionals, managers, entrepreneurs, and leaders who hold a master’s degree (or equivalent) and have relevant work experience.
The journey includes:
- Title Selection & Finalization
- Research Proposal/Synopsis
- Coursework & Assessments
- Research Paper Creation & Publication
- Thesis Preparation & Submission
Award of DBA Certificate
We provide personalized mentorship, research guidance, structured assessments, and publication support. Scholars are never left on their own; guidance is provided at each stage.
Yes. IMET’s accreditations and partnerships ensure that our programs are recognized by universities, employers, and credential evaluation bodies worldwide.
Graduates gain strategic credibility, thought leadership opportunities, and global visibility. Many alumni have moved into C-level roles, advisory positions, teaching, and consulting.
Yes. We provide affordable tuition with EMI options, scholarships up to 45% to make the program accessible to global professionals.
