The Professional Doctorate in Applied Artificial Intelligence (3 or 6 years) combines academic rigor with real-world relevance, blending advanced AI research with practical strategic applications. Participants develop the skills to apply research to complex organisational challenges, lead AI-enabled projects, and shape strategy at the executive level. The program balances coursework with supervised applied research, culminating in a Capstone Research Project and Doctoral Dissertation.

• Study level: EQF > / MQF > Level 8
• Credits: 180 ECTS
• Duration: 6 terms/ 3 or 6 years
• Mode of attendance: Online / Full or Part time
• Language: English
• Accreditation: Higher Education Programme
• EU accredited institution
• Full academic and professional support
• Recorded & live content
• Designed for experienced leaders
• Applied AI with real-world impact
• Online studies

Year 1

Terms (1-2): Foundational and applied topics in AI and Technology Management (CORE COURSES)

Year 2

Terms (3-4): Research Proposal & Preliminary Research Investigation (RESEARCH)

Year 3

Terms (5-6): Capstone Research Project and Doctoral Dissertation, concluding with a Defense (CAPSTONE PROJECT)

Designed for accomplished professionals - leaders, practitioners, and innovators - with substantial experience who wish to operate at the highest strategic and research level in AI-enabled environments. Ideal for those seeking to lead transformative AI initiatives, influence organisational strategy, and transition into executive, advisory, or academic roles.

Graduates of the Professional Doctorate in Applied Artificial Intelligence are prepared to lead applied AI research, drive strategic innovation, and bridge technical teams with organizational leaders for effective implementation. They also champion ethical AI, promoting responsible, inclusive, and sustainable adoption of AI technologies.

• C-level executives and senior managers
• AI strategy and digital transformation leaders
• Applied AI researchers and innovation managers
• Academic lecturers and applied researchers
• AI Business Strategist / Consultant
• Policy advisors and AI governance experts

The OPIT Doctorate Supervisors are PhD-qualified professors who guide candidates throughout their research journey. They help define research topics, develop sound methodologies, and monitor progress while ensuring work is conducted responsibly and to high academic standards. Each candidate works closely with an eligible supervisor who provides continuous academic mentorship, research direction, regular progress reviews, and support toward achieving publication and meaningful impact.

The programme comprises 180 ECTS and combines academic coursework with supervised applied research leading to a doctoral dissertation.

• Year 1 (60 ECTS): Coursework covering foundational and applied topics in Artificial Intelligence and Technology Management.
• Year 2 (60 ECTS): Development of the research proposal and preliminary research under academic supervision.
• Year 3 (60 ECTS): Completion of the research project, dissertation submission, and final defence before the Examining Committee.

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Study Modes

The programme may be completed full-time or part-time.

Full-time: Completed over 3 years following the structure above.

Part-time: Completed over 6 years and designed for working professionals:

• Years 1–2: Coursework (approximately two modules per year)
• Years 3–4: Research proposal and preliminary research
• Years 5–6: Dissertation research, completion, and defence

First Year

• AI-Driven Research Methods
• Technology Management and Innovation Strategy
• AI Applications in Industry
• Applied Research in AI

Second Year

• Research Proposal
• Preliminary Research Investigation

Third Year

• Capstone Research Project and Dissertation

The Program Manager oversees the coordination of the doctoral programme and serves as the primary point of contact for administrative and programme-related matters. From onboarding to graduation, they support study planning, monitor academic milestones, and work closely with supervisors and the Doctoral Committee to ensure smooth progression throughout the doctorate. Personalized support is available through regular updates and virtual office hours.

"I am here to guide doctoral candidates through every stage of their academic journey, ensuring they have the support, resources, and structure to succeed in their research and reach their future goals."

Catalina Dumitru, PhD

Doctoral Program Manager

Candidates for this Doctorate should have a strong technical foundation. This includes a Master’s degree in a STEM field, or a Master’s in a non-STEM field with at least five years of relevant professional experience in areas where AI has significant impact.

• MSc degree (EQF Level 7) in a STEM discipline (or)
• Non-STEM MSc and 5+ years relevant experience
• English proficiency : Level B2
• Statement of Purpose: Your research topic
• Provisional supervisory agreement form