MSc Managing with Data and Artificial Intelligence (DIGI-ME)

The MSc Managing with Data and Artificial Intelligence (AI) prepares you to tackle the technological and strategic challenges of modern businesses. This international program enables you to develop advanced expertise, gain hands-on professional experience, and join a network of over 49,000 alumni worldwide. 

About this program

The MSc Managing with Data and Artificial Intelligence from Grenoble Ecole de Management (GEM) is a two-year program that trains you to master data management and AI to address strategic business challenges. This is a full time program with a 2 year track (regular track) or a 1 year track (short track). It is taught in English and part of the DIGI-ME – Digital Skills for Transformative Innovation Management and Entrepreneurship project, co-funded by the DIGITAL Europe Programme of the European Union. It may include double and triple degree opportunities.

Program specifics

The MSc Managing with Data and Artificial Intelligence is built on a balanced and career-oriented approach:

• 40% technical courses to master data management, design, implementation, and evaluation of AI solutions. You’ll learn to distinguish between different approaches, including Low Code and No Code methods, to propose optimal solutions and understand the architectural challenges of AI systems.
• 40% management courses to develop strategic and ethical skills essential for AI governance and integration within organisations.
• 20% integrative modules to apply your knowledge within Grenoble’s innovative ecosystem through projects, research, and hands-on professional experience.

The program aims to train digitally-savvy managers and business executives and build specialised expertise in AI and data. Professionals from marketing, human resources (HR) or finance backgrounds can also benefit from this tailored program. 

Learning outcomes

• Analyse and structure the requirements for developing an AI and data analytics solution
• Develop and implement an AI and data strategies
• Optimise processes using artificial intelligence
• Propose, develop,and implement AI-based and data analytics solutions
• Develop AI in a responsible manner that aligns with ethical standards and business needs

Admissions

Entry requirements

MSc programs are open to applicants with 

• Year One (Regula track):  3 year Bachelor’s degree with 60% GPA and full Bachelor
  transcripts (180 ECTS).
• Year Two (Short track): 4 year Bachelor’s degree or three-year Bachelor’s degree +
  one-year Master's degree (240 ECTS).
• Proof of English Language Ability:
  • TOEFL IBT – 80
  • IELTS – 6.0
  • Duolingo – 100
  • Cambridge – minimum grade: C (Proficiency / Advanced /Business Higher) - please note TOEIC and Institutional/ITP TOEFL are not accepted as proof of English ability

How to apply 

Applications are made directly through GEM's website. Candidates must complete the application form and include scanned copies of all original supporting documents below:

• Proof of English language ability
• CV/resume
• 1 motivation essay
• 1 academic or professional reference
• Copy of passport

Fees intake 2026

• Regular track Year 1: €13,250
• Regular track Year 2: €13,950
• Short track (Direct entry into Year 2): €17,950

Funding your education

Financial Support, scholarships, banking offers, student jobs - several solutions are available to support you in your study plans and make our programs more accessible.

GEM offer GEM Financial Advisor, a platform designed to help you navigate financing options and find the solution best suited to your situation. It allows you to:

• Explore all available funding options (loans, scholarships, etc.)
• Identify the financing solution that fits your situation
• Quickly access the relevant contacts for each option

More information can be found on Grenoble Ecole de Management's website.