ESIIA

Bachelor’s Degree in Artificial Intelligence and Management

Mise à jour le 09/06/2025

Certification Titre certifié de niveau 6

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The Bachelor’s Degree in Artificial Intelligence and Management (IA) at ESIIA is a qualification registered with the RNCP at Level 6. It aims to train hybrid professionals capable of understanding complex algorithms while transforming them into profitable tools for a business.

This programme is perfectly aligned with the needs of managers responsible for driving transformation and performance, who are seeking creative, passionate, curious and motivated collaborators.

The ESIIA Bachelor’s Degree in IA enables students to become highly operational from their very first professional experience or to continue their studies at a Bac+4/5 level. The programme includes courses, conferences, Masterclasses and Business Games delivered by professionals who are experts in their respective fields.

Students also benefit from connections with our network of high-level partner companies in order to complete their work-study placement.

This programme is accessible to persons with disabilities.

Disability Officer :  Stéphane NOAH
Phone : 0160055830
Email : Stephanenoah@emsp-bs.fr

This programme does not offer any equivalences or transfer pathways.

Programme objectives

The Bachelor’s Degree in Artificial Intelligence and Management (IA) at ESIIA is a State-recognised Level 6 qualification that aims to achieve the following objectives:

  • Be able to explain the difference between supervised learning (prediction) and unsupervised learning (segmentation)

  • Code in Python to extract, clean and analyse real datasets

  • Identify which internal processes (logistics, customer service, finance) can be improved through AI

  • Create predictive dashboards that allow management to anticipate future trends (sales trends, employee attrition risks, etc.)

  • Learn to manage a team of Data Scientists by understanding their technical constraints

  • Apply digital law and GDPR to protect the company

  • Ensure algorithms are not biased or discriminatory (e.g., in automated recruitment processes)

  • Bridge the gap between client expectations (often seeking “magic”) and the actual capabilities of engineers (who work with probabilities)

  • Explain complex technical concepts to non-technical decision-makers to secure budgets

  • Evaluate ROI (Return on Investment) from AI development in terms of company productivity gains

Esiia_formation_bachelor

Students entering the first year of the Master’s programme are required to validate all skills blocks

FURTHER STUDIES: This Bachelor’s degree is professionally oriented and therefore leads directly to employment. You also have the opportunity to enrol in the first year of a Master’s degree programme.

Prerequisites

ENTRY LEVEL(S)

Baccalaureate and Bac+2

Prerequisites: The Bachelor’s Degree in Artificial Intelligence and Management at ESIIA is open to holders of a baccalaureate qualification and, for entry into the third year, to holders of a BTS or any other Level 5 qualification.

Admission is based on the review of the application file and may include an interview.

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 2026 intake are open from 1 March to 20 September 2026.
  • Applications for the January 2027 deferred intake remain open until 18 December 2026.

Modalities

  • Access to our programmes may be initiated:
  • By the employer,
  • At the employee’s initiative, with their employer’s agreement,
  • By a student or their legal guardian
  • Work-study is available from the third year onwards

Upon completion of the application form, our institution undertakes to respond within 72 hours.

If the programme requires specific prerequisites, we will propose, regardless of the funding method you are considering, 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:

  • 3 years for students holding a Baccalaureate or an equivalent qualification
  • Work-study programme available from the third year onwards

Career Opportunities

  • Data Product Manager

  • AI Project Manager

  • Digital / AI Transformation Consultant

  • AI-focused Business Analyst

  • Data Analyst

  • Data Governance Officer

  • Growth Hacker

  • Data Marketing Manager

  • Customer Experience Manager (AI)

  • IT/AI Solutions Buyer

programme

1ST AND 2ND YEAR

The IA programme in 1st and 2nd year, aimed at developing managerial skills, is structured as follows:

Semester 1:

  • Humanities

  • Economic Concepts and Current Issues

  • Law – Moot Court

  • Business Management and Enterprise Projects

  • Human Resources Administration

  • Management of Collaborative Tools

  • Operations and Activity Management

  • Marketing Analysis and Customer Experience

Semester 2:

  • Start-up and Entrepreneurship

  • Negotiation Techniques

  • Business English

  • Accounting Processes

  • Data Analysis and Management

  • Mathematics

  • Product Management

  • Introduction to Machine Learning

  • Internship (optional)

    3RD YEAR

    The IA programme of the specialisation year is organised into two (2) main areas:

    AXE 1: SPECIALISATION COURSES

    Semester 1:

    • Agile Project Management

    • Data Visualisation and Business Intelligence

    • Financial Analysis and Performance Management

    • Strategic Marketing and IA

    Semester 2:

    • Digital Law, Regulations and Risk Management

    • Python Programming & Data Libraries

    • CRM and Marketing Automation

    • ISO 27001

    • Internship (mandatory)

    AXE 2: CERTIFICATION REQUIREMENTS

    Validation of competency blocks:

    • Block 1: Define a digital solution adapted to business needs and diverse use cases

    • Block 2: Design, configure and deploy a secure and accessible digital solution using no-code tools

    • Block 3: Manage a no-code project and ensure its sustainable adoption by stakeholders

    Tuition Fees

    Information regarding the cost of this programme can be accessed by clicking on the following link : : https://esiia.fr/tarifs-et-financements/