Global Doctorate in Business Administration and AI

Languages : English
Campus : Rennes

The Global Doctorate in Business Administration in Data Science and AI is a seamless amalgamation of Business Management and Artificial Intelligence where participants will learn about the applications of AI, strategy development and the resolution of project failure operations. The Rennes School of Business graduates of this programme will be future Thought Leaders who can plan, deploy, and implement short, medium, and long-term initiatives with success.


By completing a doctoral degree in Business Administration in Data Science and Artificial Intelligence students become experts in the use of advanced tools and develop the strategic planning and decision-making skills which are vital to succeeding in the AI/ML industries.

This Global DBA will help you to become a Thought Leader in your industry and provide the experience required to work in senior management positions such as CXO, VP, and Head of Analytics.


Next intake:

  • 24 June 2024

To be eligible you must have obtained a 1st division in your master’s level degree and have a minimum of 5 years of experience. Bachelor students with 8/10 years of experience may also apply.  You are also required to be in a professional position while completing the programme.

English proficiency required:

You must have a sufficient level of English for admission:

  • TOEFL > 80
  • TOEIC > 60
  • IELTS > 6.5
  • Previous studies taught in English (minimum 3 years)
  • Native Language: English

Application process

Candidates should complete the application form provided below (Using the “Apply Here” button).

They will also need to provide contact details for their referees, all of their higher education transcripts and their CV. They must also prepare and include a research proposal.

Candidates must also record a video interview which will be followed up by an online interview with professors.


This programme is worth 200 ECTs with 9 teaching modules entailing 216 teaching hours.

Year 1 — Academic Path

Semester 1

  • Module 1: Research Methodology and Process (Online tuition)
  • Module 2: Qualitative and Mixed Research Methods
  • Module 3: Quantitative Methods and Data Analytics
  • Module 4: Advanced Optimisation
  • Module 5: Digital Organisation and Workforce

Semester 2

  • Module 6: Data Sciences & AI Applications_1
  • Module 7: Digital Strategy
  • Module 8: Data Sciences & AI Applications_2

* Tracks offered during this module may give particular focus to culturally-specific business issues and challenges of the country of the partner institution. These challenges might relate to different sectors, industries, or companies and are at the centre stage of applied research.

Year 2 & 3 — Research Path


  • Research Development Workshop
  • AI and ML Research Seminars

Doctoral Thesis

  • Global Residency 1: 2 weeks (mandatory) on Rennes SB Paris and Rennes campuses
  • Global Residency 2: 1 week (mandatory) in Dubai, UAE

Key deliverables:

  • Comprehensive literature review
  • Research proposal defence
  • Thesis defence

Tuition fees

  • Application fees: €100
  • Tuition fees: € 40,000 (1st year: 13 000 €; 2nd year: 13 000 €3rd year: 14 000 €)