André Reis Da Costa
Head of Recruitment & Admissions Advanced Programs
MSc Managing with Data and AI
The program At a glance
- Program formatFull-time
- Duration1 year to 2 years
- CampusGrenoble
- LanguagesEnglish
- Admission level3-years Degree to 4-years Degree
- DiplomaMaster's Degree
- Tuition feesFrom €13,250/year
- Program formatFull-time
- Duration1 year to 2 years
- CampusGrenoble
- Admission level3-years Degree to 4-years Degree
- DiplomaMaster's Degree
- Tuition feesFrom €13,250/year
Master Data and Artificial Intelligence to Transform the Business World
In a constantly evolving economic environment, mastering data management and artificial intelligence has become essential for driving performance and innovation. The MSc Managing with Data and Artificial Intelligence 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. Become the kind of leader who can combine algorithms, strategy, and humanity to shape the organizations of tomorrow.
Why Choose the MSc Managing with Data & AI?
81 %
of students find a job within 4 months after graduation
47 %
of graduates pursue an international career
Top
8 th
best Master's in France
QS Business Masters Ranking 2024
- Address strategic business challenges: Learn to analyze needs, structure solutions, and implement strategies based on artificial intelligence and data management.
- Develop technical and ethical expertise: Master the technical foundations of AI while integrating ethical considerations and business needs into your projects.
- Optimize processes through AI: Learn to propose, develop, and implement concrete solutions to enhance organizational performance.
- Benefit from cutting-edge teaching: Enjoy instruction from a faculty composed of academic and industry experts, blending theory and practice.
- Join an international and professional environment: Study in English alongside students from over 20 nationalities, with up to 6 months of professional experience per year and an immersive business trip in Europe.
- Become part of an innovative ecosystem: Grenoble, the European capital of innovation, offers a dynamic setting to grow your network and experiment within the GEM Labs campus.
The curriculum combines 40% technical courses, 40% management courses, and 20% integrative modules where both dimensions meet for a comprehensive approach to AI.
Case studies, hands-on projects, internships, a research thesis, and an integrative case study help you develop skills that are directly applicable in the workplace.
In-person classes, expert interactions, immersion in the GEM Labs innovation campus, and a business trip in Europe to explore AI challenges on an international scale.
Join a multicultural cohort of students from over 20 nationalities, guided by an international teaching team.
Foster collaboration, networking, and professional development in a dynamic learning environment.
Learn to design, develop, and implement AI solutions aligned with ethical standards and business needs.
6 good reasons to choose GEM
An internationally recognized and tripleaccredited business school : GEM is recognized by the French Ministry of Higher Education and holds the prestigious "Triple Crown" accreditations (EQUIS, AACSB, AMBA) — a mark of academic and professional excellence.
A diverse, multicultural, and collaborative environment : Join a global community with participants from over 20 nationalities. At GEM, intercultural exchange fosters broader perspectives and builds a worldwide professional network.
A strong commitment to global transitions : Sustainability, energy, digital transformation, and social responsibility are embedded in your learning experience. GEM prepares you to tackle today’s most critical challenges through its dedicated research institutes: EnerG, Future of Work, and Moving Mountains.
An immersive and impactful learning experience : Through its EAGLE 2030 strategy and the GEM Alpine Immersive Learning Journey model, GEM offers a unique pedagogical approach combining in-person learning, virtual formats, and realworld challenges to develop actionable and responsible skills.
Dynamic campuses in strategic locations : Study in Grenoble, Lyon, Paris, or at international partner campuses. Each location offers strong industry connections, immersive Alpine experiences, and an outstanding quality of life.
One-of-a-kind innovation ecosystem in Europe : Located in the “Silicon Valley of Europe”, GEM partners with top organizations such as CEA, STMicroelectronics, and GIANT to deliver cuttingedge programs at the intersection of management, science, and technology — including France’s first Tech MBA.
The Alpine Campus
Located in the heart of the Alps, GEM’s Grenoble campus combines innovation, nature, and an outstanding quality of life. Students enjoy close proximity to mountains perfect for skiing, hiking, and mountain biking, while studying in a city known as a scientific and technological hub. Grenoble hosts numerous start-ups, research centers, and international companies, offering students ample opportunities for collaboration, internships, and projects. The city’s compact size allows for a lively and accessible student life.
Your academic background
The MSc Managing with Data and Artificial Intelligence is a two-year program that trains you to master data management and AI to address strategic business challenges.
Fall Semester (September to December)
- Strategic Management
- Research Methods
- Accounting
- Project Management
- Managerial Economics
- International Negotiations
- Corporate Finance
- Marketing Management
- Sustainability Transition in International Business
- Design Fiction
- Languages
Spring Semester (January to March)
- Advanced Quantitative Methods for Management
- Business Analytics
- Corporate Geopolitics
- Responsible Leadership
- Managing Global Teams
- Languages
+ Immersive business trip (one week)
Fall Semester (October to December)
- Advanced Research Methods
- Fundamentals of Artificial Intelligence and Machine Learning
- Conceive, Implement, and Evaluate an AI Solution
- Responsible AI – Ethics, Legal and Societal Risks
- Integrating AI, Data, and Business Strategy
- Managing Organizations with AI
- Cybersecurity and Data Management
– Becoming an AI Professional - Languages (option)
Spring Semester (January to February)
- Applying Python to AI and Machine Learning
- Productivity Gains and Automation with Low Code, No Code
- Capstone Project
– Robotic Process Automation - Languages (option)
Choose between :
Professional experience – 3 to 6 months
Start-Up Project – 4 to 5 months
Professional certificate
Year 1: April to September
Year 2: March to July and July to December
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 /
- 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 organizations.
- 20% integrative modules to apply your knowledge within Grenoble’s innovative ecosystem through projects, research, and hands-on professional experience.
Key Skills Developed
- Analyze and structure business needs to design AI and data analytics solutions
- Develop and implement AI and data-driven strategies
- Optimize organizational processes using artificial intelligence
- Design and deploy responsible AI solutions aligned with ethical standards and business goals
Program Objectives
- Train digital-savvy managers specialized in AI and Data
- Provide AI expertise to professionals from marketing, HR, or finance backgrounds
Immersive Business Trip
In the first year, experience a one-week immersion in a major European economic hub (Berlin, London, Amsterdam, Barcelona…). Meet professionals from leading companies, expand your network, and explore the international dimensions of AI.
How to ensure your degree is recognized worldwide?
All GEM MSc programs are internationally recognized by the prestigious higher education accreditation bodies, AACSB and EQUIS, and are equivalent to a level 7 degree on the European Qualifications Framework, in compliance with the Bologna Agreement for a master’s degree, comprised of 120 ECTS credits.
Life in France – A Blend of Culture and Innovation
Studying in France offers a unique opportunity to experience a rich cultural heritage, world-class education, and a vibrant lifestyle. From historic cities and stunning landscapes to cutting-edge research and innovation hubs, France provides an environment that fosters personal growth, academic excellence, and professional opportunities. Students benefit from a high quality of life, excellent public transport, and a thriving student community across the country.
Located in the heart of the Alps, GEM’s Grenoble campus combines innovation, nature, and an outstanding quality of life. Students enjoy close proximity to mountains perfect for skiing, hiking, and mountain biking, while studying in a city known as a scientific and technological hub. Grenoble hosts numerous start-ups, research centers, and international companies, offering students ample opportunities for collaboration, internships, and projects. The city’s compact size allows for a lively and accessible student life.
GEM has been awarded the Bienvenue en France Level 3 label for welcoming international students.
GEM has been awarded the state-certified “Bienvenue en France” level 3 label, attesting to the excellence of its welcome and support for international students.
Do you have any questions?
Please feel free to contact our training advisors if you have any questions about our programs or admission processes, or if you would like to discuss your professional goals. Our teams are available to help you choose the path that best suits your ambitions.