
Advanced Master in Big Data
- Program formatWork-study
- Duration1 year
- CampusGrenoble
- LanguagesFrench
- Admission level4-years Degree to Master's degree or more
- DiplomaMaster's Degree
- Tuition fees€16,900
- Program formatWork-study
- Duration1 year
- CampusGrenoble
- Admission level4-years Degree to Master's degree or more
- DiplomaMaster's Degree
- Tuition fees€16,900
The Advanced Master in Big Data: Analysis, Management and Responsible Value Creation, co-certified with Grenoble INP – Ensimag, prepares you to master the technical, organizational, and ethical challenges of big data.
Through a curriculum combining data science, engineering, and management, you will be ready to take on roles such as data scientist, data engineer, or data strategist.
Why Choose the Advanced Master in Big Data?
In a world where big data has become a major strategic lever, organizations need profiles capable not only of mastering the technological processing of data but also of leveraging it responsibly for economic, ethical, and sustainable value. The Advanced Master in Big Data: Analysis, Management and Responsible Value Creation meets this demand by training professionals with scientific, technical, and managerial expertise.
Co-certified with Grenoble INP – Ensimag, this program offers you high-level scientific expertise—distributed systems architecture, large-scale data flow management, machine learning—combined with training in big data management. You will become a professional capable of extracting value from data while fully integrating privacy, ethics, and sustainability considerations.
Highlights of the program
Benefit from the combined expertise of a leading business school and a top engineering school specializing in computer science and applied mathematics. This dual recognition ensures a rigorous, high-standard education aligned with industry expectations.
The program is built on a triple skill set in data science, systems engineering, and data project management. This highly sought-after combination enables you to understand the technical, organizational, and operational aspects of big data solutions.
You will learn to work with emerging technologies while integrating issues of privacy, ethics, digital sustainability, and environmental responsibility. This approach is essential to meet the challenges posed by the rise of AI and the large-scale use of data.
The program offers a work-study format, allowing you to apply your skills to real projects within a company. This immersion helps you strengthen your technical expertise, understand business needs, and facilitate your professional integration.
In addition, industry-focused conferences, led by companies or institutions from various sectors, are organized throughout the year to showcase the strategic and often lesser-known challenges of data management.
Case studies, team projects, and professional interventions structure your learning. This applied approach quickly places you in real-world situations, helping you develop autonomy, analytical skills, and technical expertise.
- Requested experienceNone
- VPL accessibilityAccessible
- PRM accessibilityAccessible
- Level 7 qualification registered with the RNCP and labeled MS (Bac +6) by the Conférence des Grandes Écoles (CGE)
- Certifying body: Grenoble Ecole de Management et Grenoble INP Ensimag
- Exact title of the certification: Manager expert de solutions responsables en science des données (MS)
- Date of certification registration: 27/10/2025
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6 good reasons to choose GEM
Grenoble Campuses
GEM Grenoble – Alpine Campus
Located between scientific hubs, startups, and the Alpine mountains, GEM’s main campus embodies Grenoble’s DNA: pioneering, committed, and international.
Just steps from the city center, it welcomes a multicultural community representing 120 nationalities in a vibrant building that hosts a rich student life, numerous events, and frequent interactions with local companies. A campus where ideas flow and projects come to life, in an environment that is both stimulating and welcoming.
GEM Grenoble – GEMLabs Innovation Campus
This second Grenoble campus is dedicated to educational innovation, bringing students and companies together. A true experiential learning laboratory, it brings together several cutting-edge immersive platforms (Biz Lab, TIM Lab, Playground, VisionLab) where participants experiment, test, and learn by doing.
Answers to all your questions
To apply for an Advanced Master’s program at Grenoble Ecole de Management, candidates must hold a five-year higher education degree (Bac+5) or a four-year degree (Bac+4) with at least three years of professional experience. The application process is conducted online via our dedicated platform and includes submission of academic records, a motivation letter, a CV, and a selection interview (depending on the profile). Proper preparation and clear motivation are essential.
GEM’s Advanced Master’s programs boast an excellent employment rate, with over 90% of graduates securing a position within six months of completing the program. Thanks to a targeted, professionally oriented education that is recognized by companies, our graduates quickly access positions of responsibility in high-demand sectors.
Yes, all of our Advanced Master’s programs are offered through a work-study format, with an adapted schedule (such as one week in class and three weeks in a company). Work-study programs allow students to gain solid professional experience while financing their studies, making them a real asset for employability.
A Master’s degree is a national diploma recognized by the French State (equivalent to five years of higher education), and is often generalist in nature. An Advanced Master’s program®, on the other hand, is a label awarded by the Conférence des Grandes Écoles (CGE) and is accessible after a five-year higher education degree or equivalent. It provides in-depth specialization in a specific field (cybersecurity, finance, procurement, etc.), directly aligned with market needs.
Pursuing an Advanced Master’s program means choosing a high-level, professionally oriented and highly specialized education. It is ideal for developing new skills, changing career paths, or specializing in a strategic field. GEM’s Advanced Master’s programs rely on a strong network of experts, corporate partners, and alumni to accelerate your career.
Yes, the Advanced Master’s program is an official label awarded by the Conférence des Grandes Écoles (CGE). It is recognized by companies and recruiters in France and internationally. It certifies an advanced level of specialization, high academic standards, and strong professional rigor.
Discover our other programs
Your academic background
The program runs over 13 months and is taught in French.
As a generator of new business models, the Big Data dimension must be integrated into organizations from a technical, business, and ethical perspective. The program addresses all these aspects (mathematics, data, business, and ethics).
Here are some example modules:
Strategy and Governance (IT, Data)
Competitive Intelligence
Ethics and Social Responsibility in Innovation and Technology
Distributed Systems and Cloud Architecture
Large-Scale Data Storage and Processing
IT Security and Data Privacy
Statistical Learning and Data Mining
Data Science
Economic and Ecosystem Value of Data
Operations and Value Chains
Complex Project Management
Innovation Processes
*List provided for indicative purposes only and is non-contractual.
Throughout the year, industry-focused conferences, led by companies or institutions from various sectors, are also organized to highlight the strategic and sometimes lesser-known challenges of data.
The program is taught jointly with Grenoble INP – Ensimag, allowing students to benefit from the expertise of two renowned institutions.
Some courses are delivered directly on the Grenoble INP – Ensimag campus by their faculty, enabling students to gain an in-depth understanding of the technical foundations of data.
The course hours are distributed between the two institutions, ensuring a comprehensive and complementary learning experience.
As part of the program, you will work on a company-assigned project in small groups. Over the course of seven months, your goal will be to develop concrete solutions and present them to the company that commissioned the project. These collaborations allow you to explore the strategic challenges and decisions faced by data professionals.
This project also provides an opportunity to build connections with experts and fully leverage networking opportunities.
Offered in a work-study format, the program gives you the opportunity to join a company and carry out a high-responsibility assignment. You will alternate between on-campus classes and your professional mission, applying the knowledge and skills acquired throughout the year.
Schedule: 3 weeks in the company / 1 week on campus (subject to variation depending on the month).
The skills targeted by the degree
Our objective: to train you to master the entire Big Data value chain, from data collection and processing to analysis, interpretation, and responsible valorization.
Throughout the program, you will develop an in-depth understanding of advanced data science methods as well as best practices in data protection and responsible information governance.
This rigorous approach, stemming from the GEM x Grenoble INP – Ensimag co-certification, provides you with a solid foundation to become a professional capable of bridging engineering, strategic data analysis, and decision-making in a digital context.
At the end of the program, you will be able to:
Implement data management infrastructures: architecture and deployment
Design data science solutions addressing strategic or organizational challenges
Lead data science solution projects using dedicated methodologies and tools
Characterize, quantify, and effectively communicate the economic and ecosystem value of implemented data science solutions
See the detailed skills targeted by this program on France Compétences, RNCP Card 41673
This program will provide you with comprehensive expertise in data science, distributed systems, and responsible data valorization, while developing your ability to work on operational projects in a corporate environment. Graduates of the Advanced Master in Big Data will be ready to tackle the challenges posed by the data explosion and technological transformations shaping the organizations of tomorrow.
Evaluation and Validation
Teaching Methods at GEM are highly practical, based on real business cases and enriched by contributions from industry professionals. These learning experiences help you develop your innovation and creativity skills through simulations, real case studies, and hands-on exercises.
- Assessment: Case studies based on real or hypothetical business situations, completed individually and/or in groups.
- Program completion: Writing and defending a professional thesis before an academic and professional jury.
The professional thesis is the final step toward obtaining the degree. It is neither an internship report nor an academic doctoral thesis. It is a well-developed managerial reflection, combining field observations and theoretical research, providing a genuine contribution to the company. It must conclude with recommendations applicable exclusively to the company where the assignment took place.
In the case of partial validation of the targeted professional certification, the validated skill blocks are acquired and documented through a certificate (certification of skill block(s)). Correspondences of skill blocks are available on the RNCP records of professional certifications.
Graduation rate: 100% (Source: Jury report, 2022)
Career paths after the Advanced Master in Big Data
Source: 2025 survey based on the class of 2024
Access to overall integration rates in employment and in the targeted profession : RNCP Card 41673
The Advanced Master in Big Data trains professionals capable of leading Big Data projects. These highly sought-after profiles, positioned at the intersection of scientific, technical, managerial, business, and strategic domains, must integrate a transversal dimension of responsibility and ethics.
Throughout the year, industry-focused conferences, led by companies or institutions from various sectors, are organized to showcase the strategic and sometimes lesser-known challenges of data in different professional contexts.
Potential positions:
Data Scientist
Data Engineer
Data Analyst / Data Science Analyst
Data Miner
Data Science Expert
Big Data Expert
Big Data Engineer
Data Engineer
Our alumni have gone on to become:
AI Policy Manager at the FRENCH MINISTRY OF ECONOMY
Trader at SOCIETE GENERALE CORPORATE AND INVESTMENT BANKING (SGCIB)
Data Scientist at WAGA ENERGY
DevOps Engineer at ORANGE
Customer Experience Lead at SCHNEIDER ELECTRIC
Launch your career
At GEM, the transition to the professional world begins on day one to ensure successful career integration for all students.
- Professional Experiences: At the core of your education, internships and work-study programs provide concrete opportunities to test your skills, boost your employability, and enrich your career path.
- The Career Center: It supports you at every stage of your journey to better understand yourself, refine your career project, succeed in applications, meet companies, and secure your first job. With a team of coaches and consultants, you benefit from personalized guidance, practical workshops, and numerous events to build a professional future that suits you.
- The Jobteaser Platform – 24/7: Access all internship, work-study, and job opportunities, key resources, and upcoming recruitment events anytime, anywhere.
- Access to a Wide Professional Network: With 49,000 alumni and over 600 corporate partners, you enjoy privileged access to a vast network of professionals worldwide and across sectors to expand your contacts, learn about careers, and seize opportunities.
How can you enroll in the Advanced Master in Big Data
You must hold a Master’s-level degree (Bac+5) from a Business or Engineering school or a university.
This program requires candidates to have studied scientific subjects during their previous education or to have initial professional experience in data processing (prerequisites in computer science and statistics).
Admission Process
Application file
To apply, you need to complete your online application, including a copy of each supporting document, in English or French (or a certified translation if in another language).
Required documents:
- Curriculum Vitae (CV)
Motivation letter
Certificate of completion of your most recent degree in French or English
Proof of enrollment (if the program is still in progress)
University transcripts: front and back, including grading scale
1 academic or professional reference. Family members or friends are not accepted as referees.
Passport or national ID scan
Internationally recognized ID photo
Selection interview
After your application file has been reviewed by the Admissions Committee, you will be invited—or not—to attend a selection interview.
The interview takes place with the Program Director or other members of the selection panel.
For the 2026 intake, interviews will be held on the following dates (via videoconference):
Tuesday, January 27, 2026
Wednesday, February 4, 2026
Thursday, February 19, 2026
Wednesday, February 25, 2026
Thursday, March 5, 2026
Tuesday, March 24, 2026
Tuesday, March 31, 2026
Tuesday, April 21, 2026
Wednesday, May 6, 2026
Tuesday, May 19, 2026
Tuesday, June 2, 2026
Following your interview, you will be informed within a few days whether you have been admitted, rejected, or placed on the waiting list.
Calendar
Applications open in October and are accepted until July (subject to availability). Admission is based on the number of places available, and applications are reviewed as they are received.
We recommend that applicants apply early in the admission period to maximize their chances of being accepted into the program. This is particularly beneficial for those wishing to pursue a work-study program, as it gives them more time to find a host company and a position that aligns with their long-term career goals.
If you hold a 4-Year degree, you must have at least three years of professional experience.
This program requires candidates to have studied scientific subjects during their previous education or to have initial professional experience in data processing (prerequisites in computer science and statistics).
Admission Process
Application file
To apply, you need to complete your online application, including a copy of each supporting document, in English or French (or a certified translation if in another language).
Required documents:
- Curriculum Vitae (CV)
Motivation letter
Certificate of completion of your most recent degree in French or English
Proof of enrollment (if the program is still in progress)
University transcripts: front and back, including grading scale
1 academic or professional reference. Family members or friends are not accepted as referees.
Passport or national ID scan
Internationally recognized ID photo
Selection interview
After your application file has been reviewed by the Admissions Committee, you will be invited—or not—to attend a selection interview.
The interview takes place with the Program Director or other members of the selection panel.
For the 2026 intake, interviews will be held on the following dates (via videoconference):
Tuesday, January 27, 2026
Wednesday, February 4, 2026
Thursday, February 19, 2026
Wednesday, February 25, 2026
Thursday, March 5, 2026
Tuesday, March 24, 2026
Tuesday, March 31, 2026
Tuesday, April 21, 2026
Wednesday, May 6, 2026
Tuesday, May 19, 2026
Tuesday, June 2, 2026
Following your interview, you will be informed within a few days whether you have been admitted, rejected, or placed on the waiting list.
Calendar
Applications open in October and are accepted until July (subject to availability). Admission is based on the number of places available, and applications are reviewed as they are received.
We recommend that applicants apply early in the admission period to maximize their chances of being accepted into the program. This is particularly beneficial for those wishing to pursue a work-study program, as it gives them more time to find a host company and a position that aligns with their long-term career goals.
If you hold a foreign degree equivalent to the required French degrees (Master’s degree or 4-Year degree with professional experience).
This program requires candidates to have studied scientific subjects during their previous education or to have initial professional experience in data processing (prerequisites in computer science and statistics).
Admission Process
Application file
To apply, you need to complete your online application, including a copy of each supporting document, in English or French (or a certified translation if in another language).
Required documents:
- Curriculum Vitae (CV)
Motivation letter
Certificate of completion of your most recent degree in French or English
Proof of enrollment (if the program is still in progress)
University transcripts: front and back, including grading scale
1 academic or professional reference. Family members or friends are not accepted as referees.
Passport or national ID scan
Internationally recognized ID photo
Selection interview
After your application file has been reviewed by the Admissions Committee, you will be invited—or not—to attend a selection interview.
The interview takes place with the Program Director or other members of the selection panel.
For the 2026 intake, interviews will be held on the following dates (via videoconference):
Tuesday, January 27, 2026
Wednesday, February 4, 2026
Thursday, February 19, 2026
Wednesday, February 25, 2026
Thursday, March 5, 2026
Tuesday, March 24, 2026
Tuesday, March 31, 2026
Tuesday, April 21, 2026
Wednesday, May 6, 2026
Tuesday, May 19, 2026
Tuesday, June 2, 2026
Following your interview, you will be informed within a few days whether you have been admitted, rejected, or placed on the waiting list.
Calendar
Applications open in October and are accepted until July (subject to availability). Admission is based on the number of places available, and applications are reviewed as they are received.
We recommend that applicants apply early in the admission period to maximize their chances of being accepted into the program. This is particularly beneficial for those wishing to pursue a work-study program, as it gives them more time to find a host company and a position that aligns with their long-term career goals.
Visa requirements may apply to international students wishing to study or work in the country. They are advised to check the requirements with their consulate in advance and plan accordingly. GEM has no influence over this process.
Tuition Fees
- €16,900 net of tax
Can be financed under the terms of your work-study contract.
The qualification “Manager expert de solutions responsables en science des données (MS))” and its skill blocks are also accessible via accreditation of prior experiential learning (VAE in French) and can be financed under French training account (CPF) conditions.
You will be definitively enrolled in the program once your academic prerequisites are validated, and you sign either a work-study contract with a company or an initial training contract if ineligible for work-study. For those under an initial training contract, a 14-day withdrawal period must be observed before final confirmation of enrollment. Contact our training consultants with any inquiries.
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 Financial Advisor is 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
We recommend that students begin their search for financial aid as early as possible.
Please note that you must apply and be accepted into a program before you can apply for a scholarship or visa.
Pursue the program in a work-study format
As one of the first business schools to offer work-study programs, GEM, a committed school, has made this a priority.
Objective: to provide you with long-term immersion in a company and further enhance your employability.
The Advanced Master in Big Data offers a work-study format throughout the entire program.
You will alternate between periods in the company and on-campus classes, primarily in person, with occasional remote sessions.
Here is the typical schedule for the year:
From mid-September to mid-October, you attend full-time courses at GEM and ENSIMAG.
From mid-October to the end of June, you generally alternate 1 week of on-campus classes with 3 weeks in the company. In some months, the schedule may be 2 weeks of classes and 2 weeks in the company.
From July to September, you continue full-time with your company assignments, with occasional on-campus sessions.
A detailed yearly schedule will be provided to you and your company upon registration.
Through its Coach & Career Center and its Apprenticeship Training Center (CFA), the school supports you from finding a host company to signing your apprenticeship contract.
Bringing your entrepreneurial project to fruition
Specific Arrangements
Have an idea? Want to start your own business? At any point during your studies, the Talent Office reviews your project and, following approval by a committee, a tailored curriculum adjustment can be proposed to allow you to pursue both your studies and your entrepreneurial project. In this context, your work-study placement can be aligned with your business creation project.
A 100% GEM Incubator
Created in 2011, IncubaGEM, GEM’s start-up incubator, is the school’s main engine for entrepreneurship. Reserved for GEM students and alumni, it offers support for up to 18 months. Nearly 350 start-ups have benefited from it since 2011, including Wizbii, ISKN, Homunity, Andyamo, and Lokki.
Dedicated Programs
Each year, specific tracks and specializations allow you to sharpen your entrepreneurial mindset.
Discover the Testimonials of Our Students and Alumni
Do you have any questions?
Feel free to contact our admissions advisors for any questions about our programs, the application process, or to discuss your professional goals. Our teams are available to help you choose the path that best aligns with your ambitions.

Apply to GEM
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