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MSc Artificial Intelligence Systems

The MSc – Master of Science in Artificial Intelligence Systems (MSc AIS) trains high-level experts to meet the needs of companies wishing to integrate new Artificial Intelligence technologies, including data analysis (Big Data, Data Science, recommendation systems, etc.). Accredited by the Conférence des Grandes Écoles (CGE), the program is offered 100 % in English.

The main feature of this program is to train students to solve complex problems, using AI techniques and tools, with a solid background in mathematics. Students are trained in the use of AI methods, techniques and tools while gaining a solid background in mathematics and programming in a fully international environment.

Etudiant MSc EPITA

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Program Structure

The program consist of 1 year of classes and a 6-month internship at the end of the studies in a French or international company.

To obtain their degree, students must acquire 120 ECTS (European Credits Transfer Systems) over the 18-month period and the French A2 level.

Semester 1 (S1) 30 ECTS / 12 Months

Foundation

On Campus

Semester 2 (S2) 30 ECTS / 12 Months

Core

On Campus

Semester 3 (S3) 30 ECTS / 12 Months

Excellence

On Campus

Semester 4 (S4) 30 ECTS / 6 Months

Internship

In company

1

Semester 1 – Foundation

This semester has two main objectives :

Unify students’ knowledge, independent of their current level, by establishing a common scientific background in mathematics and programming as a prerequisite for future semesters ;
Culturally integrate students, thus reducing their culture shock via French as a Foreign Language (FLE) courses, an integration program introducing French culture and civilization, a coaching program and daily immersion in campus life.

Techning Unit 1 – Introduction to Artificial Intelligence

Introduction To Python
Knowledge Representation & AI History

Techning Unit 2 – Technical Foundation

Advanced Algorithmic
Relational Databases
Java & UML Programming
Algorithm Workshop

Techning Unit 3 – Core Data & Artificial Intelligence

Linear Algebra for Data Science
Numerical Algorithms
Operations Research I : Linear Programing
Operations Research II : Optimization for Data Science
Probability & Statistics for Machine Learning

Techning Unit 4 – Innovation & Management

Cultural Integration Workshop
General French (All levels)
Communication for Leaders
Adapting to a New Culture

2

Semester 2 – Core

The aim of this semester is for students to understand Artificial Intelligence and the building blocks used to construct its systems. The knowledge and experience obtained in the core semester will enable students to put their knowledge acquired in the foundation semester into action.

Techning Unit 1 – Technical Foundation

Data Privacy by Design
Big Data Infrastructure & Cloud Computing

Techning Unit 2 – Operational Methodologies

General French (All levels)
AI Project Methodology

Techning Unit 3 – Data Science

Kaggle Week
Intermediate Python for Data Science
Machine Learning I : Introduction to Statistical ML 1
Machine Learning II : Bayesian & Unsupervised Methods
Neural Networks & Deep Learning

Techning Unit 4 – Data Engineering

NOSQL Databases
Spark & Python for Big Data
Data Exploration & Preparation
Data Reporting & Visualization
Data Science in Production 1

Techning Unit 5 – Management & Soft Skills

Career Project Elaboration

3

Semester 3 – Excellence

This semester provides students with a panoramic view of all Artificial Intelligence Systems and how to apply them in the various domains of life. Students will acquire the necessary savoir-faire to appropriately use analytical tools in each system. It is perhaps the most appealing semester combining academic action and real-life exposure to AI systems.

Techning Unit 1 – Applied Data Science & Artificial Intelligence

AI in Signal & Audio Processing
Time-Series Analysis
Machine Learning I : Introduction to Statistical ML 2
AI in Image and Video Processing
Natural Language Processing
Recommender System
Action Learning

Techning Unit 2 – Advanced Management & Engineering Science

General French (All levels)
Cross-Border Management
Digital Transformation
Introduction to Block Chain & Bitcoin

Techning Unit 3 – Data Engineering

Reinforcement Learning
Ethical Development of AI Applications
Big Data Infrastructure & Cloud Computing
Data Science in Production 2

4

Semester 4 – Internship

The last semester is a compulsory 6-month internship and is the capstone of the MSc Artificial Intelligence Systems program. Students will acquire technical business experience, enriched by working in different social and cultural environments, facilitating their future professional integration. It is necessary for the internship to be part of an industrial or research project. The well-defined role of the student must include active participation in all stages of analysis and design cycles. Business startup projects can be accepted under certain conditions. Projects are validated by the academic team. Interns will benefit from a well-developed internship agreement ensuring compliance with new regulations. Students of our MSc in Artificial Intelligence Systems are paid between €1300 and €2,000 per month during their internships.

As students need to provide an official A2 level attestation in French in the end of their program, EPITA organizes TFI (Test de Français International) sessions during the fourth semester. In order to prepare them to the particularities of this exam, the students will be offered a 10 hours preparation course.

Student Testimony

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What jobs can the MSc Artificial Intelligence Systems lead to ?

Data Scientist
Data Engineer
Software Architecture
AI Project Manager
AI Coach
AI Solution Architect
Data Knowledge Miner
Data Architect
Machine Learning Engineer
Features Engineer

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You wish to Study at EPITA ?

Admission criteria

The program is open to applicants holding a 4-year bachelor’s degree (or equivalent) in Computer Science, Computer Engineering, Electrical Engineering or related fields. There are no age restrictions. Students can join this program immediately after receiving their Bachelor degree or later in their careers. Applicants need to have a strong background in mathematics and general sciences.

English Language Requirement

If the native language or the medium of instruction of the applicants’ Bachelor’s study is not English, they have to demonstrate proficiency in English using one of the following tests.

TOEFL (minimum score 80 IBT)
TOEIC (minimum score 800)
IELTS (minimum score 6.0)

French Language Requirement

No French level is required for the candidates to be admitted to the MSc Artificial Intelligence Systems program.

How to apply

Applicants should fill in the application form and upload the following documents translated into English or French in digital format at our application portal :

CV
Passport
Scan copy of certified Bachelor’s degree transcripts
Scan copy of certified Bachelor’s degree certificate
Scan copy of certified High School diploma
2 letters of recommendation
TOEFL (80 IBT), TOEIC (800), or IELTS (6.0), if the native language or the medium of instruction of the Bachelor’s studies of the applicant is not English
Statement of purpose

The admission process is fully automated, and the application should be submitted online.

Application fee : €60 / Payable upon submitting application

Application deadline :
Spring 2027 – 15 Jan 2027

Application Procedure

Submit your application
Attend an online interview
Receive admission results

Two intakes per year : Fall (September) and Spring (February)

Private institution of higher education – Registered with the Créteil Regional Education Office – This school is a member of the IONIS Education Group as:

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