Intake 1
- Applications25 October — 7 November
- Enrolment9 November — 13 November
- Classes start16 November
QAIRUExecutive MBA
Executive MBA AI+X
A one-year programme for leaders and experts who decide how AI is adopted in business — from strategy to AI systems engineering.
01 — About
Business strategy in the age of AI
You study strategic management and business research, machine learning with Python, natural language processing and ESG in digital business. Electives cover AI strategy and business analytics, decision intelligence, business process optimisation, AI entrepreneurship or AI systems engineering.
The programme includes experimental research work and ends with the defence of a master’s thesis or project.
| Code and name | 7M04101 AI+X Executive MBA |
|---|---|
| Duration | 1 year · 3 trimesters of 10 weeks |
| Volume | 63 academic credits (1,890 hours) |
| Research work | 18 credits |
| Final assessment | Thesis or project defence · 12 credits |
02 — Who it is for
For those who make the decisions
Executives and business owners
Define the company’s AI strategy and assess the return on AI adoption.
Digital transformation leaders
Run projects, data and teams where business meets technology.
Founders and entrepreneurs
Build AI products and start-ups and shape the technology architecture of a business.
03 — Curriculum
Programme structure
Electives offer two blocks: business-oriented and engineering-oriented.
Core courses15 credits
Strategic Management3 cr.
Business Research3 cr.
Machine Learning and Python3 cr.
Natural Language Processing3 cr.
ESG and Sustainability in Digital Business3 cr.
Electives18 credits
Elective 1Choose one of 24 cr.
BusinessArtificial Intelligence for Business Process Optimization
AI engineeringAI Systems Architecture and MLOps
Elective 2Choose one of 25 cr.
BusinessData-Driven Decision Intelligence
AI engineeringData Engineering for AI Systems
Elective 3Choose one of 25 cr.
BusinessFoundations of AI Entrepreneurship and Start-ups
AI engineeringDistributed AI Systems and Cloud Computing
Elective 4Choose one of 24 cr.
BusinessAdvanced Business Analytics and AI Strategy
AI engineeringAI Systems Integration and Deployment
Research work and final assessment30 credits
Experimental Research Work of the Master’s Student18 cr.
Writing and Defence of the Master’s Thesis or Project12 cr.
04 — Key dates
Upcoming intakes
Intake 2
- Applications20 November — 5 December
- Enrolment7 December — 11 December
- Classes start14 December
Intake 3
- Applications20 January — 5 February
- Enrolment8 February — 12 February
- Classes start15 February
Your business’s AI strategy starts here
Leave a request and the admissions office will help you choose a programme and an intake.