Degree Master's Degree — Bac+5
Entry Level High School Diploma to Bac+4
Format Full-time & Work-study
Languages French & English
Campuses Paris-Villejuif
Intakes September & January
Degree awarded: Grade de Master
Degree Awarded
Grade de Master
 
Eduniversal 5 Palmes of ExcellenceEduniversal 2026 #1 AI & Data Science
Ranked #1 in AI & Data Science in France
2024 2025 2026

Mid-year intake Ā· January 2027

Is your current programme not the right fit? Start a new path this January.

Whether you have just completed high school, want to change direction after your first semester, or missed the September application window, join Year 1 of our Grande Ɖcole Programme in AI and data science without waiting another year.

Direct application outside Parcoursup
Individual application review
Decision within a few days

Join the Grande Ɖcole Programme

Application-based admission:
your background and your potential matter

Admission is based on a thorough, individual assessment of your application, with no written examinations or systematic oral interview.

Entry into Year 1

Apply through Parcoursup if you fall within its scope; other applicants apply directly to aivancity.

A motivation video is optional. Not submitting one will not disadvantage your application.

Entry into Years 2, 3 or 4

Apply through aivancity’s application platform, subject to the entry requirements for your chosen year.

A personal introduction and motivation video, no longer than 3 minutes, is required.

The admissions jury may exceptionally request an additional interview to clarify elements of your application. Final enrolment remains subject to validation of the required academic level and, where applicable, recognition of equivalences.

Admission requirements and assessment criteria

Introduction

aivancity’s ā€˜Grande Ecole’ programme trains future AIgineersĀ® to tackle the many economic and societal challenges associated with harnessing the potential of data and artificial intelligence:

Graduates capable of developing computer programmes that boost business performance and facilitate the transition to Industry 4.0, whilst also contributing to human progress across all fields, whilst ensuring that ethical standards evolve in line with technical and societal developments.

Graduates capable of designing and developing intelligent systems that contribute to business progress and the development of tomorrow’s society, whilst addressing the new challenges posed by cobotics (collaborative robotics or human–machine collaboration).

Recruiters are increasingly seeking young talent capable of leading innovation projects and supporting the transformation of their organisations by applying technological and scientific knowledge within a business or management context (strategy, marketing, customer relations, operations management, finance, etc.).

 

The AIgineersĀ® whom we (trans)form are thus able to draw on a range of hybrid skills and lead multidisciplinary teams, linking the scientific aspects of AI and data science to business and society through open, collaborative and lean innovation approaches, and agile project management… whilst developing the ability to operate in a VUCA environment (volatile, uncertain, complex and ambiguous) and embracing the need to move forward without knowing everything in advance.

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pepper robot on campus
 
Discover the Paris Campus!

Diplomas

The Grande Ecole program enables students who have successfully completed their studies to obtain :

  • A graduate degree in Artificial Intelligence and Data Science (leading to a Master's degree)
  • an "AI Product Engineering" certificate issued by the University of California at Berkeley, for students opting for the California Learning Trip

The professional qualifications on offer, for which preparation is built into the programme, validate the expertise of aivancity graduates and help them showcase their skills.

Year 1

Microsoft Certified: Power Platform Fundamentals

Year 2

Microsoft Certified: Power BI Data Analyst Associate

Year 3

AWS Certified Machine Learning – Specialty

Year 4

Microsoft Certified: Azure Data Scientist Associate

Year 5

Microsoft Certified: Azure AI Engineer Associate

Performance Indicators for 2024–2025
Content updated on: November 18, 2025
96%
Satisfaction rate
100%
Graduation rate
99%
Graduation rate

Objectives

These skills enable our graduates to become key players in AI and data science projects within organisations.

  • Institutional environment
  • Economic and financial environment
  • Legal framework
  • Social and societal environment
  • Identifying business opportunities in the field of artificial intelligence
  • Analysis of the societal and environmental impacts of artificial intelligence
  • Security and data protection
  • Processing data from multiple sources
  • Statistical analysis of data
  • Data processing
  • Design and training of AI models
  • Optimisation and evaluation of AI models
  • IT requirements analysis
  • IT Development Management
  • Software sustainability and evolution
  • Dissemination of the project results
  • Monitoring changes to the results display interface of the artificial intelligence solution
  • An overview of the main applications of the AI project’s findings and their ethical implications
  • Managing the workflow of an AI project
  • Team-building in a technological environment
  • Financial oversight and risk management for the AI project

To take into account the wide-ranging impacts and challenges of AI on the environment, society and the individual, and to develop a responsible approach that takes into account not only legal issues relating to data but also issues of bias, transparency, robustness and explainability.

To take a holistic approach to business issues, incorporating, in particular, marketing and customer relationship strategies, management tools, communication methods, and human and managerial factors.

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Paul, Grande Ɖcole programme graduate
Graduates’ stories: Paul’s account

The Programme Grande Ecole also enables
students to :

  • Master English in professional situations and work in an international environment
  • Develop their capacity to understand disruptions and transformations, their sense of agile, open and collaborative innovation, and their ability to lead an end-to-end creative process.
  • Understand the business challenges in your area of specialization and acquire the associated soft skills.
  • Adopt responsible and ethical behavior and systematically integrate it into professional decisions and activities

These skills enable our graduates to become key players in AI and data science projects within organizations. 
Far from being limited to a single profession, our commitment to employability is to provide them with the technical, business, and ethical tools they need to thrive in an ever-changing world.

TƩmoignages