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Context

Our world today is undergoing unprecedented changes. The digital revolution, massive data and globalization are real revolutions that raise huge challenges and expectations for society.
Businesses are looking for high-level scientific professionals who are true «integrator-innovators», able to pool wide fields of expertise, generate new solutions, initiate and bring about change with a strong sense of ethics, responsibility and civic engagement, particularly in the face of social and environmental concerns.

Objectives

Our program is unique in terms of curriculum since it encircles the field both with model/symbolic-driven and data-driven artificial intelligence methods as well as their applications to critical domains of the society like ethics, internet of people, networks, logistics, and biomedical sciences.

Program

Foundations
- Foundations of Machine Learning
- Foundations of optimization
- Foundations of Artificial intelligence
- Foundations of Deep Learning
- Foundations of Decision modeling
- Foundations of Big Data & AI programming languages & platforms
Electives
- Theorical AI: At least 3 electives to choose
• Graphical Models
• Game Theory
• Multi-agent Systems
• Reinforcement learning
• Advanced Deep Learning
• Advanced Statistics

- Applied AI: At least 3 electives to choose
• Ensemble Learning
• Computational social choice
• Computer vision
• Medical Imaging
• Natural language processing
• Networks science analytics

Pré-requis

A minimum level in English is required: 850 on the TOEIC.

public concerned

You have graduated or will you graduate soon from a top university/school with a strong degree (Bachelor/M1) in Engineering, Mathematics, Statistics, Computer Science, Physics;
You have little to no work experience.
You have a good level of English and would you like to study entirely in English.
You are looking to become an expert and a leader in AI.

in practice

Training methods

Training means

Assessment methods

Exams throughout the different modules
A professional thesis to write and present in front of a jury of experts

Statistics

370
Teachers and teacher- researchers interacting with its international network

176
Foreign partner universities

4,300
Students

6th
Worldwide for employer reputation

8th
In the world for institutions under 50 years of age

Your contact for this training

Laurie Deliere

Mastère Spécialisé® sales manager

+33 (0)1 75 31 66 10

laurie.deliere@centralesupelec.fr

Make an appointment

They tell you about it

Our program is unique in terms of curriculum: it encircles the field both with model/symbolic-driven and data-driven artificial intelligence methods as well as their applications to critical domains like natural language processing, visual computing, internet and retail. Our end-to-end from theory to practice program entirely offered in English with outstanding quality of classes and instructors offers you a unique opportunity of excellence in terms of curriculum towards becoming an artificial intelligence architect and amazing career perspectives in the hottest discipline of this century.

Vincent Mousseau,
Head of the program

As a French person, I was well aware of the reputation of CentraleSupelec. It is one of the best schools in France. Among that, the description of the course interested me a lot : Most schools that have AI programs are focused on Machine and Deep Learning but AI is not only about that. There are plenty of issues that exist in AI that Deep Learning would not solve. I would describe the MSc AI of CentraleSupélec as : - Demanding : the program is short and intense - Gobal : we study a lot of different fields in depth - Balanced : we did both research opportunities and application

Louis De Vitry,
Computer Vision Research Engineer at TheraPanacea

Master of Science in Artificial Intelligence

Becoming an artificial intelligence architect in the hottest discipline of this century

Reference :

MScIA-22

Price :

20 000€ including 2.000€ deposit

75€ of application fees on apply.centralesupelec.fr/

contact

From 01/10/2021 to 30/12/2022

More dates
400 heures
Campus Paris-Saclay (Gif-sur-Yvette)

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Context

Objectives

Program

Pré-requis

public concerned

in practice

Training methods

Training means

Assessment methods

Statistics

Your contact for this training

They tell you about it

Master of Science in Artificial Intelligence

Becoming an artificial intelligence architect in the hottest discipline of this century

They talk about this training

Enjeux, risques éthiques et cybersécurité de l’Intelligence Artificielle – Résumé U-Next Conversation

L’architecture d’entreprise est-elle toujours pertinente face à l’agilité ? – Résumé U-Next Conversation

Pourquoi poursuivre ses études avec un Mastère Spécialisé® à CentraleSupélec ? – Résumé U-Next Conversation

[Replay] Pourquoi l’éthique revêt une importance capitale pour les intelligences artificielles ? Quel est le rôle de la cybersécurité ?

Testimony of Thomas Lamson, a graduate of the Master of Science in Artificial Intelligence

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