Master Management de l’Innovation et Intelligence Artificielle

Students build a strong foundation in Artificial Intelligence, innovation management, data-driven decision-making, and AI governance while developing analytical and strategic thinking skills.

Core Courses

• UE1-Introduction to Artificial Intelligence

• UE2-Introduction to Artificial Intelligence and Machine Learning (Tech Foundations)

• UE3-Innovation Management and Tech Strategy

• UE4-Data Science for Decision Making

• UE5-Law and Governance of Artificial Intelligence

The second semester focuses on applying AI within organisations, understanding digital transformation strategies, entrepreneurship, finance, cybersecurity, and responsible innovation.

Core Courses

• UE1-Digital Transformation and AI Application

• UE2-Product Innovation through AI

• UE3-Tech Entrepreneurship and Business models

• UE4-Interdisciplinary Innovation Project

• UE5-Digital law

• UE6-AI Challenges and Strategies

Students explore advanced AI applications across industries while developing AI products, innovation strategies, user experience design, and research capabilities.

Core Courses

• UE1-Green AI

• UE2-AI Product Lifecycle and User Experience

• UE3-Data Protection

• UE4…UE9- 2 Elective Courses (Advanced Applications in Artificial Intelligence)

The final semester is dedicated to professional immersion through an internship and the completion of a research-based Master's thesis addressing a real-world AI or innovation challenge.

Components :

• Professional Internship

• Applied Research

• Master's Thesis

• Oral Defence

Assessment is designed to foster continuous learning and the practical application of knowledge throughout the programme. Students are evaluated through a combination of individual and group assignments, case studies, presentations, applied projects, research reports, and written examinations, ensuring the progressive development of analytical, strategic, and leadership skills.

The programme places a strong emphasis on experiential learning, with industry-oriented projects enabling students to address real-world challenges in Artificial Intelligence, innovation, and digital transformation. Continuous assessment is complemented by regular feedback from faculty to support academic and professional growth.

To graduate, students must successfully complete 120 ECTS credits over four semesters, including all taught modules, a professional internship, and a research-based Master's thesis addressing a contemporary challenge in Artificial Intelligence or innovation management. The programme culminates in the oral defence of the Master's thesis, demonstrating students' ability to integrate academic knowledge with practical and research expertise.

Graduation requirements

• Successfully complete 120 ECTS credits

• Pass all taught courses and assessments

• Complete the professional internship

• Submit and defend the Master's thesis

• Fulfil all academic and attendance requirements of Sorbonne University Abu Dhabi