Presentation
What is a Master’s Degree in Digitalisation, AI and Big Data?
INSEEC’s Grande École programme, specialising in digitalisation, AI and Big Data, prepares you for careers in digital transformation, artificial intelligence and data analysis. This course confers a Master’s degree (equivalent to Bac+5) recognised by the Ministry of Higher Education and Research and is RNCP level 7 certified. The course is taught in French and English and is AMBA accredited. This means you can be sure of optimum employability in the fast-expanding technology and digital sectors.
Diploma and professional certification
This state-approved degree confers a Master’s grade and has been AMBA accredited since 2016, guaranteeing its recognition in France and internationally.
Professional certification as an Innovative Projects Manager level 7 (EU), NSF code 310, awarded by INSEEC Grande École, registered under number 41044 on the RNCP (Répertoire National des Certifications Professionnelles) by decision of the Director General of France Compétences.
Objectives and skills
The aim of the Master’s Degree in Digitalisation, AI and Big Data is to train experts capable of steering the digital transformation of organisations and exploiting emerging technologies to create value.
The programme develops key skills in :
- Digital transformation and digital strategy
- Artificial intelligence and machine learning
- Big Data and data analysis
- Management of technological innovation projects
- Data-driven decision making
- Digital ethics and law
- Digital marketing and e-commerce
- Innovation management
The content
The courses below are given as examples and are taught on the Paris campus. The programme, taught in French and English, is updated annually to incorporate the latest advances in artificial intelligence, big data and digital transformation.
1ʳᵉ year (Level L3)
60 ECTS credits – 488 hours
This first year lays the foundations of management and develops your ability to understand the challenges of digital transformation. At the start of the programme, students spend a week immersed in London.
- Understanding the world’s major issues
- Intercultural skills
- Developing critical and independent thinking
- Become an expert, responsible and efficient manager
- Supervised collaborative work: INSEEC Personal Project
- Undertaking and leading change
2ᵉ year (M1 level)
60 ECTS credits – 436 hours
The second year of the work-linked PGE programme deepens your digital skills and enables you to customise your path towards data and AI expertise. You choose a pre-specialisation from September to December. You may then go abroad from January to May, followed by a minimum 12-month work placement in a company from June to August.
- Building autonomy and the ability to decipher the world
- Professional methods, skills and practices
- Career paths
3ᵉ year (Level M2) – Core curriculum
60 ECTS credits – 406 hours
The core curriculum of this 3ᵉ year work-linked PGE develops your skills in innovation, research and managing complex projects.
- Open Innovation Challenge
- Research Methodology Seminar
- Advanced Management
- Business Ethics & Corporate Social Responsibility
- Preparing for the Grand Oral
- Crisis Management Night
3ᵉ year (M2 level) – Speciality courses
Speciality courses teach you about the technologies and strategies of digitisation, AI and big data.
- Digital transformation and its impact on businesses
- Big data management
- Introduction to data analysis
- Artificial Intelligence for business
- Commercial case studies
- Business law and ethics
- Machine learning: organisational and strategic implications
Assessment procedures
The assessment uses various methods to validate your theoretical and practical skills in the digital environment:
- Continuous assessment and periodic evaluations
- Individual and collaborative projects
- Half-yearly examinations and final tests
- Case studies in data and business analysis
- Managing digital projects and technological innovations
- Business simulations and challenges
- Final dissertation and applied research project
- Compulsory work experience and company assessment
Certification is obtained by capitalising on all the skill blocks and validating the 180 ECTS credits over the 3 years of the programme.
Is this diploma recognised by the State?
Yes, it is an official certification from the Ministry of Higher Education. France Compétences guarantees the quality of INSEEC and its courses.
- A demanding quality label appreciated by companies
Nos Campus
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Testimonials
Our students are satisfied
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In my final year of a Master’s degree at INSEEC, I am working as an advertising manager on a work-study program at JCDecaux in the Basque Country and southern Landes region. The work-study program allows me to apply what I learn in class while gradually entering the workforce.
Simon Faure
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Originally from Reunion Island and having completed an ECT preparatory course, I chose INSEEC Grande École for its excellence in work-study programs and its stay in London. The merit-based scholarship allowed me to attend my first year in Paris free of charge, on a modern campus in the heart of the city.
Rachel Adolphe
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As a Master 2 student at INSEEC Grande École, I had the opportunity to study in Bordeaux, London, and Casablanca, as well as in New Caledonia. These international experiences and the school’s network enabled me to easily secure my work-study position as a recruitment officer.
Ninon Metais
Key figures for class 2024
For RNCP title n°41044
“DipViGrM – Grande École Programme
Rate of presentation for certification
National pass rate
Professional experience
A career path
This work-study programme gives you the chance to put your skills in digital transformation, data analysis and the management of artificial intelligence projects into practice.
INSEEC supports you
Individualized support in your search for a work-study program or internship in digital transformation, with personalized follow-up throughout the year.
Job dating
Monthly meetings organized with our partner companies specializing in tech, data, AI, and digital transformation.
Match’Up
Thousands of work-study programs and internships in digitalization, data science, AI, and technological innovation available online.
Corporate and Alumni Relations Department
A network of 10,000 partner companies and 115,000 alumni to launch your career in tech and data.
Coaching Workshop
Weekly group or individual sessions: technical CV, technical interview, project pitch, digital personal branding, and professional networking.
Business
What are the career prospects after a Master’s degree in Digitalisation, AI and Big Data?
INSEEC’s Digitalization, AI and Big Data Grande Ecole Programme (leading to a Master’s degree) opens the door to exciting careers in tech, digital consulting and innovation. The digital professions offer rapid progression to positions of high responsibility in the data economy.
Application
What are the admission requirements for the Master’s degree in Digitalisation, AI and Big Data?
Admission to 1st year (Level L3)
- Accessible to students holding or in the process of obtaining a BUT, BTS, Licence 2, RNCP level 5 certified qualification (Bac +2), or enrolled in 2ᵉ year of IEP.
- Admission via the Evolution 1 competitive entrance examination (application + oral tests).
- Training provided in French and English.
Admission to 2nd year (M1 level)
- Open to students who have completed or are in the process of completing a Licence 3, Bachelor’s degree, Master 1, engineering degree or level 6/7 RNCP-certified qualification attesting to at least 3 years of higher education.
- Admission via the Evolution 2 competitive entrance examination (application + oral tests).
- Training provided in French and English.
Are you in a preparatory class?
- You can enter the first year of the Grande École programme by taking the BCE competitive entrance examination.
Your application
- Submitting your application
- Admission test
- Eligibility results
School fees
What are the tuition fees for the Master’s degree in Digitalisation, AI and Big Data?
Tuition fees vary from year to year. Several financing solutions are available to support you.
- 2nd year undergarduate
- 1st year 1-year€12 950
- 2nd year 1-year€13 390
- 3rd year 1-year€13 390
- Grade de Master Degree
Financial aid
INSEEC offers a number of financial aid schemes:
Alternating work placements or work-study contracts
Banking partnerships and their advantages
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FAQ
Everything you need to know about the Master’s Degree in Digitalisation, AI and Big Data
Do you have any questions about this innovative programme? Find out the answers to the most frequently asked questions. If you want to find out more, our team at the Paris campus is always available to talk to you!
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What are the objectives of the Master’s Degree in Digitalisation, AI and Big Data?
The aim of this course is to train expert managers capable of driving digital transformation, exploiting the Artificial Intelligence Master and using Big Data to create strategic value. You will develop dual skills in management and digital technologies in the field of the practical application of AI in companies.
Is the INSEEC Master’s Degree in Digitalisation, AI and Big Data recognised by the State?
Yes, the Digitalisation, AI and Big Data programme awards a Bac +5 diploma conferring the Grade de Master, recognised by the French State since 2005. It has been AMBA accredited since 2016 and is RNCP level 7 certified (record 41044). INSEEC Grande École is a member of the Conférence des Grandes Écoles.
Which partner companies recruit students from this programme?
INSEEC’s network of 10,000 partner companies regularly recruits graduates of the Digitalisation, AI and Big Data Grande Ecole Programme (PGE):
- Tech start-ups and scale-ups.
- ESN and digital transformation consultancies.
- Large groups in digital transition.
- Pure players in e-commerce and digital.
- Data-driven companies in all sectors.
Which languages are used for courses and exams?
The Digitalization, AI and Big Data programme is taught in French and English. This pedagogical approach enables you to master international technical vocabulary and to work in multicultural environments and IT systems in different countries.
Are there any internship or work-study opportunities during the Master’s Degree in Digitalisation, AI and Big Data?
Yes, the 3-year programme offers a sandwich course. This format enables you to gain practical experience in digital transformation, data science or project management while financing your Artificial Intelligence Masters course.
What soft skills are developed after a Master’s degree in Digitalisation, AI and Big Data?
This course develops the behavioural skills that are essential in the world of technology:
- Agility and adaptability to technological change.
- Analytical thinking and complex problem-solving.
- Creativity and innovation.
- Communicating data insights to non-technical staff.
- Project management and working in agile mode.
- Intellectual curiosity and technology watch.
Do you need a technical background to join this programme?
Not particularly. This PGE (Programme Grande École) programme is open to all profiles, whether they come from management, business, human sciences or technical backgrounds. The basics of data and AI are taught progressively. What’s important is your motivation for digital transformation and your curiosity about new technologies and the application of IT in business.
What tools and technologies are taught in this specialisation?
The programme trains you in the professional data and AI tools available in various tech environments:
- Programming languages.
- Visualisation tools.
- Big data platforms.
- Machine learning frameworks.
- Statistical analysis and modelling tools.
- Cloud technologies.
How does this course compare with an AI Masters at university?
The INSEEC Grande École Master’s Degree differs from a university Master IA in that :
- A management and business orientation combined with technical knowledge.
- Personalised support in your search for a work-linked training placement.
- A network of 10,000 partner companies.
- A practical, professionalising approach from the first year.
- Lecturers from the business world and the INSEEC research laboratory.
- An internationally recognised AMBA-accredited degree.
What is the difference between data analyst, data scientist and AI project manager?
These three professions have distinct scopes in the data ecosystem:
- Data analyst: extracts and analyses data to generate reports and business recommendations.
- Data scientist: builds complex predictive models using machine learning and artificial intelligence.
- AI Project Manager: leads innovation projects based on AI, coordinates the technical teams and manages the production roll-out of solutions.
The programme prepares you for these three types of role through a comprehensive training programme combining technical and management skills.
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