Doctor of Business Administration

Program equips professionals with the expertise needed to navigate complex business challenges and drive innovation. Participants will develop advanced research competencies, mastering both qualitative and quantitative methodologies to enhance their analytical and critical thinking abilities

Key Objects

Advanced Research Competence

Gainproficiency in diverse research approaches, ensuring methodological rigor and ethical standards

AI & Data-Driven Decision-Making

Study emerging technologies’ influence on strategic planning and competitive analysis

Global & Ethical Perspectives

Examine cross-cultural management and sustainability frameworks for responsible leadership

Practical Consulting

Combine doctoral research with applied skills in business intelligence consulting

3 years

Duration

180 ECTS

Credits

Research, AI, global business leadership

Focus

Dissertation connecting theory with practical applications

Outcomes

Program Structure

Dissertation part 3, advanced topics, industry engagement

Year 3

Year 2

Year 1

Semester 1

Semester 1

Semester 1

Ethics, sustainability, cross-cultural competence, dissertation part 1

Research methods, AI & digital topics, market trend analysis

Semester 2

Semester 2

Semester 2

Dissertation completion, preparation for doctoral defense

Dissertation part 2, business intelligence consulting

Program Conclusion

Mid-Program

End of Year

Quantitive methods, data analysis, proposal development

Doctoral defense presentation of findings and contributions

Doctoral Colloquium III for research progress review

Finalize and present formal proposal for approval

Career Pathways

Entrepreneurship

Management Consulting

Academic Roles

Corporate Leadership

Oversee data strategy an AI implementation in multinational firms

Lead startups offering AI-related products or global market solutions

Advisory roles focusing on evidence-based strategy and advanced analytics

Teaching and research positions in universities or think tanks

Description

Credits

Course

Doctoral Defence & Viva Prep

Industry Engagement & Applied
Research

Doctoral Seminar on Advanced topics

6

6

6

42

Structured rehearsal, Q&A practice

Projects with industry partners

Synthesizing findings, final writings (~40,000 words)

Emerging issues relevant to candidates’s research

Dissertation Part 3 & 4

Description

Credits

Course

Portfolio & Career Advancement

Dissertation Part 1 & 2

Global Business & Cross-Cultural
Competence

6

6

30

6

6

Translating research in BI consulting frameworks

Building professional portfolio, personal branding

Data collection, analysis, drafting results

Ethical frameworks, ESG principles

Leading multicultural teams, global strategies

Ethics, Sustainability
& Social Impact

Consulting for Business Intelligence

Description

Credits

Course

Business Trends & Competitive Intelligence

AI & Digital Transformation

Qualitative Research Methods

6

6

6

6

6

Introduction to doctoral processes, topic identification

Systematic scanning of markets, competitor analysis

Foundations of AI in business, data governance

Overview of doctoral-level research standarts

Designing qualitative studies, interviews, coding

Introduction to Research Methods

Doctoral Orientation & Proposal Dev.I

Why choose this DBA

Professional Growth

Regular portfolio guidance for leadership roles in various sectors

Study strategies for managing and applying data insights

AI & Data Emphasis

Address challenges in diverse cultural and market contexts

Ethical & Global Dimension

Methodological Riger

Strong research skills adaptable to academia and industryunique as well

Program Delivery & Support

Collaborative Network

Doctoral colloquia foster peer exchange and relationship-building

Practical Engagement

Applied research projects link theory with operational realities

Dedicate Mentorship

Academic supervisors guide research from topic refinement to publication

Mix of online sessions and live colloquia for busy professionals

Blended Format

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