Program Overview

M1 Artificial Intelligence

The Master's in Artificial Intelligence provides an advanced, hands-on approach to the core areas of AI and Machine Learning, preparing students for the latest challenges in the field. The program covers a comprehensive range of topics—from statistical learning and machine learning to subfields like deep learning, natural language processing (NLP), and reinforcement learning.

Overview

By integrating state-of-the-art techniques, such as generative models, frugal AI, and scientific machine learning, students are not only trained in the theoretical underpinnings of AI, but also gain real-world skills applicable to research, industry, and entrepreneurship. The program’s emphasis on practical implementation, along with courses on AI ethics and bias mitigation, ensures graduates are equipped to tackle the complex, evolving landscape of modern AI.

Skills

• Know the basics of applied statistics and optimisation.

Objectives

• Provide a deep understanding of machine learning, optimization, and statistical modeling techniques.
• Equip students with practical experience in AI implementation using tools like scikit-learn, TensorFlow, and PyTorch.
• Foster expertise in specialized areas such as natural language processing (NLP), reinforcement learning, generative models, and AI safety.
• Cultivate skills to address the ethical challenges of AI, including issues related to fairness, bias, and transparency.
• Prepare graduates for leadership roles in AI research, innovation, and deployment, across academia, industry, and startups.

Career Opportunities

Career Prospects

• After a Master's or Master's + Doctorate: researcher or lecturer-researcher
• After a Master's + Doctorate: researcher or lecturer-researcher
• After a Master's or Master's + Doctorate: engineer (research and development, control, production…)
• Data science expert
• Data management expert
• Consultant in AI ethics and data
• After a Master's: Data scientist
• After a Master's: Artificial Intelligence (AI) specialist
• R&D engineer
• R&D project manager
• Project manager
• Consultant
• Data protection officer
• Information systems manager

Further Study Opportunities

• Doctorate
• Engineering school
• Research thesis
• Doctoral thesis
• Additional training in innovation management
• Students with an M2 degree have the opportunity to pursue a doctorate in research

Fees and Scholarships

The amounts may vary depending on the program and your personal circumstances.

Admission

Admission Route

• Computer Science
• Mathematics
• Physics

Capacity

Available Places

25

Public and Prerequisites

This course requires a good foundation in mathematics and computer science:

• Probabilities and statistics
• Linear algebra
• Scientific programming
• Data visualization
• (optional) Differential and integral calculus

Application Period

• From 20/02/2026 to 01/04/2026

Supporting Documents

Compulsory Supporting Documents

• List of post-secondary school studies mentioning exclusively the year, course, institution, average grade, and your grade or distinction.
• Copy of passport.
• Motivation letter.
• Letter of recommendation or internship evaluation.
• Document at your convenience.
• List of applications for other tracks, in particular in the Paris-Saclay computer science master's program, in order of preference.
• Completed questionnaire (to download on the master's web page).
• Auto-evaluation form to be downloaded from
• All transcripts of the years/semesters validated since the high school diploma at the date of application.
• Certificate of English level (compulsory for non-English speakers).
• Proof of English level B2 or an official statement by the university that the bachelor's education was entirely in English.
• Curriculum Vitae.

Additional Supporting Documents

• GMAT/GRE test results.
• VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
• Supporting documents:
  • Residence permit stating the country of residence of the first country
  • Or receipt of request stating the country of first asylum
  • Or document from the UNHCR granting refugee status
  • Or receipt of refugee status request delivered in France
  • Or residence permit stating the refugee status delivered in France
  • Or document stating subsidiary protection in France or abroad
  • Or document stating temporary protection in France or abroad.

Programme

The schedule will be posted shortly.

Location

• ORSAY
• GIF SUR YVETTE

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9 rue Joliot Curie, Bâtiment Bouygues 91190 Gif-sur-Yvette

Campus Map

3 rue Joliot Curie Bâtiment Breguet 91190 Gif-sur-Yvette