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Master’s Degree in Artificial Intelligence and Management
Updated on 09/06/2025
Certification
Titre de niveau 7enregistré au répertoire national des certifications professionnelles
presentation
The ESIIA Master’s degree in Artificial Intelligence and Management (IAM) is a qualification listed on the RNCP at Level 7, which, over a two-year period, trains hybrid professionals capable of understanding the technical complexity of AI while mastering the challenges of business strategy.
This programme is perfectly suited to the needs of AI Product Managers, who are seeking creative, passionate, curious and highly motivated professionals.
The ESIIA Master’s degree in IAM enables graduates to be highly operational from their very first professional experience. The programme includes courses, conferences, masterclasses and business games delivered by professionals who are experts in their respective fields.
Students also benefit from facilitated connections with our premium network of partner companies in order to complete their work-study programme.
Programme objectives
The ESIIA Master’s degree in Artificial Intelligence and Management (IAM) is a State-recognised Level 7 qualification designed to achieve the following objectives:
- Being able to analyse which processes (HR, marketing, logistics) can be optimised through AI to generate a competitive advantage
- Assessing the profitability of an AI project in relation to its development and maintenance costs
- Anticipating technological disruptions in order to stay ahead of the competition
- Understanding technical jargon (Machine Learning, Deep Learning, NLP) to challenge teams and define realistic objectives
- Adapting project management to the specific life cycles of AI (training phase, model testing, deployment)
- Ensuring that data used is of high quality, as “AI without good data is useless”
- Detecting and correcting discriminatory biases in algorithms (e.g., recruitment, bank credit)
- Considering the ecological impact (energy consumption) of large-scale AI models
- Redefining job descriptions and anticipating upskilling needs
- Explaining to teams how AI can become an “assistant” rather than a replacement
- Mastering the European AI Act and GDPR to avoid regulatory sanctions
Prerequisites
RECRUITMENT LEVEL(S)
Bachelor’s degree / Licence and Bac+4
Prerequisites: The ESIIA Master’s degree in Artificial Intelligence and Management (IAM) is open to holders of a Licence/Bachelor’s degree or any other Level 6 qualification, and, for entry into the second year of the Master’s programme, to candidates who have completed Master 1 or have obtained an exemption from the certifying authority.
Admission is based on application review and, if necessary, an interview.
Career Opportunities
- AI Product Manager
- Chief Data Officer (CDO)
- Digital Transformation Consultant
- AI Consultant
- Innovation Manager
- AI Ethics & Compliance Officer
- Predictive Marketing Manager
- Innovation Manager
- Business Data Analyst
- Data Strategist
- Supply Chain Planner
- HR Analytics Manager
Teaching Methods and Assessment
Assessment Methods: Case studies and/or tests and/or essays and/or text analyses and/or multiple-choice questions (MCQs) and/or oral assessments and/or research projects / Continuous assessment / Work-study and competency evaluation (written + oral) / Thesis defence / Professional evaluation in the company
Programme Summary Documents: Course materials (PDF, and/or Word, and/or PPT formats), case studies and/or audio and video resources, and any exercises to be completed during the programme
Admission Procedures and Deadlines
ACCESS DEADLINES
Applications for the September 2025 intake are open from 1 March to 20 September 2025
Applications for the deferred January 2027 intake continue until 18 December
Modalities
Access to our programmes can be initiated:
By the employer,
By the employee with their consent,
By a student or their legal guardian
Work-study programmes are available from the third year onwards.
Once the application form has been completed, our school undertakes to respond within 72 hours.
If the programme requires prerequisites, we will then propose, regardless of the funding method you intend to use, a knowledge assessment and/or a positioning interview (by telephone or videoconference) and/or a review of your application file.
Duration of Studies:
DURATION OF STUDIES:
- 2 years for students holding a Bachelor’s degree or an equivalent qualification, and 1 year for students who have completed their first year of the Master’s programme.
- Work-study programme available from the third year onwards.
programme
FIRST YEAR
The first-year IAM programme, designed to develop managerial skills, is structured as follows:
Semester 1:
Corporate Strategy
Human Resources Management and Organisational Behaviour
Project and Innovation Management
Managerial Geopolitics
Corporate Finance and Cash Management
English
Business Challenges in a Globalised Economy
Business Law
Semester 2:
Innovation & Business Model
Management of Collaborative Tools
Globalisation and International Economics
Environmental Management and Sustainable Strategies
Introduction to Information Systems
Databases and Data Management
Fundamentals of Information Security
Persona and Experience Mapping
Business Game
Internship (Optional)
SECOND YEAR
The IAM specialisation year is organised around two (2) main areas:
AREA 1: SPECIALISATION SUBJECTS
Semester 1:
Data Architecture
Programming and Software Development
Design Thinking and Interaction
Virtualisation and Cloud Computing
Semester 2:
Digital Law and GDPR
Machine Learning & Deep Learning
Generative AI and LLM
Data Storytelling
Business Game
Internship (Compulsory)
Professional Dissertation Writing
AREA 2: CERTIFICATION REQUIREMENTS
Validation of competence blocks:
Block 1: Create and develop a digital entrepreneurship project with the support of AI
Block 2: Design a digital project using a UX Design approach while integrating AI
Block 3: Manage a digital project using agile methodology, developing its functional specifications and technical requirements
Block 4: Develop an e-marketing and communication strategy for a digital entrepreneurship project with the support of AI
Block 5: Conduct studies and produce reports in competitive intelligence and corporate strategy
Tuition Fees
Information regarding the cost of this programme can be accessed by clicking on the following link : https://esiia.fr/tarifs-et-financements/
Prix de la formation en alternance : 10500€ TTC/ an
Prix de la formation en initiale : 7500 € TTC / an
Frais d’inscription : 1000 € TTC
Salaire
La moyenne de salaire annuel en sortie de Mastere en Cybersecurite est de 28 K€.