DOCTOR OF BUSINESS ADMINISTRATION (DBA)
Information Technology & Artificial Intelligence for a Sustainable World
Advanced Doctoral Programme for Responsible AI Leaders & Digital Transformation Experts
Shape the Future of Technology. Build a Sustainable Artificial Intelligence Ecosystem.
The DBA in Information Technology and Artificial Intelligence for a Sustainable World (Level 8) is an advanced professional doctoral programme designed for technology leaders, researchers, managers, and innovation professionals who aim to develop strategic expertise in the responsible application of artificial intelligence and sustainable digital transformation.
In a world where artificial intelligence is rapidly changing industries and societies, organisations require leaders who can combine:
- Advanced technology expertise
- Responsible AI development
- Sustainability principles
- Strategic management and innovation
This DBA programme prepares scientific and strategic leaders capable of creating applicable, ethical, and sustainable knowledge that supports organisations, communities, and future digital ecosystems.
PROGRAMME OVERVIEW
| Qualification: | Doctor of Business Administration (DBA) |
| Specialisation: | Information Technology & Artificial Intelligence for a Sustainable World |
| Level: | Level 8 |
| Duration: | 12 Months |
| Study Mode: | Online |
| Target Group: | Technology Leaders, AI Specialists, Researchers, Digital Managers & Innovation Professionals |
Entry Requirements:
- Minimum BSc qualification
- MSc/MBA qualification is preferred
- Verifiable professional experience
PURPOSE OF THE DBA PROGRAMME
The purpose of this DBA is to develop:
- Scientific and strategic leaders in responsible artificial intelligence
- Experts capable of producing applicable and sustainable knowledge
- Professionals who can guide organisations through ethical digital transformation
- Leaders who can integrate technology, innovation, and sustainability
WHY CHOOSE THIS DBA?
The programme enables participants to:
- Develop advanced expertise in artificial intelligence
- Design sustainable and responsible digital solutions
- Lead AI-driven transformation projects
- Manage ethical and strategic technology decisions
- Conduct applied research with real-world impact
- Contribute to the future of sustainable digital development
COMPETENCY BLOCKS
BLOCK 1
Scientific & Epistemological Foundations of Sustainable Artificial Intelligence
Objective:
Develop advanced theoretical understanding of computer science, artificial intelligence, and the scientific principles supporting sustainable AI development.
Participants will develop the ability to:
- Master advanced theoretical foundations of computer science and AI
- Understand scientific paradigms, including:
- Epistemology
- Falsifiability
- Reproducibility
- Integrate digital sustainability principles from the early design stages of AI systems
BLOCK 2
Architecture, Design & Performance of Responsible AI Systems
Objective:
Develop the ability to design reliable, explainable, efficient, and sustainable artificial intelligence systems.
Participants will learn to:
- Design robust and explainable AI architectures
- Optimise AI performance while reducing environmental impact
- Develop resource-efficient AI solutions
- Integrate security, reliability, and resilience into AI system design
BLOCK 3
Data Governance & Ethics of Artificial Intelligence
Objective:
Develop responsible approaches to managing data, AI models, and ethical challenges.
Participants will develop competencies in:
- Responsible data governance
- AI model governance
- Ethical risk management
- Legal and regulatory compliance
- Transparency and explainability
- Fairness and responsible AI practices
BLOCK 4
Applied Research, Sustainable Innovation & Organisational Transformation
Objective:
Develop the capability to create meaningful research outcomes and lead sustainable AI-driven transformation.
Participants will learn to:
- Conduct high-impact applied research
- Transform organisations through sustainable AI strategies
- Develop responsible innovation frameworks
- Lead measurable technology-driven change
- Create solutions with economic, social, and environmental value
BLOCK 5
DBA Dissertation & Scholarly Leadership in Sustainable AI
Objective:
Develop advanced research capability and demonstrate intellectual leadership in sustainable artificial intelligence.
Participants will:
- Produce an original and applicable scholarly contribution
- Demonstrate strategic and academic leadership
- Share knowledge responsibly with professional and scientific communities
- Contribute to the future development of sustainable AI practices
DBA LEARNING EXPERIENCE
The programme combines:
- Doctoral-level research methodology
- Advanced information technology knowledge
- Artificial intelligence innovation
- Sustainability-oriented thinking
- Strategic leadership development
Participants work on complex technology challenges and develop solutions that can support organisations in achieving responsible digital transformation.
DBA DISSERTATION & FINAL ASSESSMENT
Professional Doctoral Dissertation
The DBA programme concludes with the preparation of:
A 200-page doctoral dissertation
The final assessment includes:
- Original applied research project
- Scientific and professional analysis
- Presentation and defence before an examination committee
The dissertation must demonstrate:
- Original contribution to knowledge
- Practical relevance and applicability
- Strategic value for sustainable AI development
DBA PROGRAMME BENEFITS
Graduates will be able to:
- Apply advanced doctoral-level AI and IT knowledge
- Lead responsible artificial intelligence initiatives
- Develop sustainable technology strategies
- Manage ethical and strategic digital transformation
- Conduct impactful applied research
- Become leaders in the future of sustainable technology
BECOME A LEADER IN RESPONSIBLE AI
The DBA in Information Technology and Artificial Intelligence for a Sustainable World is more than a doctoral qualification.
It is a professional journey towards:
- Responsible Artificial Intelligence Leadership
- Sustainable Digital Transformation
- Advanced Technology Innovation
- Applied Research Excellence
- A Sustainable Digital Future
Develop the expertise to shape the future of artificial intelligence for a more sustainable world.