MSc Artificial Intelligence Systems:

The MSc 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  CGE, the program is offered entirely 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.

Program Structure

The program consist of 12 months 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):

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.

Teaching Unit 1 – Introduction to Artificial Intelligence

1. Introduction To Python
2. Knowledge Representation & AI History

Teaching Unit 2 – Technical Foundation

1. Advanced Algorithmic
2. Relational Databases
3. Java & UML Programming
4. Algorithm Workshop

Teaching Unit 3 – Core Data & Artificial Intelligence

1. Linear Algebra for Data Science
2. Numerical Algorithms
3. Operations Research I: Linear Programing
4. Operations Research II: Optimization for Data Science
5. Probability & Statistics for Machine Learning

Teaching Unit 4 – Innovation & Management

1. Cultural Integration Workshop
2. General French (All levels)
3. Communication for Leaders
4. Managing the Culture Shock

*The course list is subject to change.

Semester 2 (S2):

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.

Teaching Unit 1 – Technical Foundation

1. Data Privacy by Design
2. Cloud Computing using AWS

Teaching Unit 2 – Operational Methodologies

1. General French (All levels)
2. AI Project Methodology

Teaching Unit 3 – Data Science

1. Python Week
2. Intermediate Python for Data Science
3. Machine Learning I: Introduction to Statistical ML 1
4. Machine Learning II: Bayesian & Unsupervised Methods
5. Neural Networks & Deep Learning

Teaching Unit 4 – Data Engineering

1. NOSQL Databases
2. Spark & Python for Big Data
3. Data Exploration & Preparation
4. Data Reporting & Visualization
5. Data Science in Production 1

Teaching Unit 5 – Management & Soft Skills

1. Career Project Elaboration
   
   

Semester 3 (S3):

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.

Teaching Unit 1 – Applied Data Science & Artificial Intelligence

1. AI in Signal & Audio Processing
2. Time-Series Analysis
3. Machine Learning I: Introduction to Statistical ML 2
4. AI in Image and Video Processing
5. Natural Language Processing
6. Recommender System
7. Action Learning

Teaching Unit 2 – Advanced Management & Engineering Science

1. General French (All levels)
2. Cross-Border Management
3. Digital Transformation
4. Introduction to Block Chain & Bitcoin

Teaching Unit 3 – Data Engineering

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

Semester 4(S4):

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.