Master in Management of Innovation and Artificial Intelligence (MIAI)

MasterPostgraduateAI & Innovation

About This Programme

A two-year English-taught Master in the management of innovation and artificial intelligence, delivered by Sorbonne University Abu Dhabi.

Course Highlights

  • Bridges innovation management and artificial intelligence.
  • Complements the Bachelor in Mathematics (Data Science for AI).
  • Delivered by Sorbonne University Abu Dhabi.
  • English-taught over two years.

What You'll Study

A two-year English-taught Master bridging the management of innovation with artificial intelligence, delivered by Sorbonne University Abu Dhabi. It complements the Bachelor in Mathematics (Data Science for AI).

Academic Framework

  • Language of instruction: English
  • Duration: 2 years (4 semesters)
  • Credits: 120 ECTS
  • Teaching methods: Lectures, seminars, workshops, case studies, applied projects, industry engagement, research supervision, and professional internship
  • Final requirement: Professional internship, Master's thesis, and oral defence

Semester 1 – Foundations of AI and Innovation

  • 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

Semester 2 – Digital Transformation and Entrepreneurship

  • 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

Semester 3 – Advanced AI Applications and Innovation

  • 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)

Semester 4 – Professional Experience and Research

  • 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 & graduation requirements

  • 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

Entry Requirements

Academic: A relevant bachelor's degree (second-class honours / CGPA around 3.0), preferably with a quantitative or technical background.
English: IELTS Academic 6.0, TOEFL 79, or native-English study of three years; English-medium degrees are exempt.

Tuition fee is not yet published by SUAD for this programme.

Careers

Leads to careers in AI product and innovation management, data-driven strategy and technology leadership.

Accreditation & Professional Recognition

Accredited by the UAE Commission for Academic Accreditation (CAA); delivered by Sorbonne University Abu Dhabi in affiliation with Sorbonne Universite and Universite Paris Cite.

Programme Details

Award

Master (Master's degree), 120 ECTS

Start Date

September (annual intake)

Typical Offer

Relevant bachelor's (2nd class / CGPA 3.0); IELTS 6.0

Duration

2 years

Qualification

Masters

Subject Area

AI & Innovation

Study Pattern

Full time

Delivery Format

In person