12 Computer Science Master's Degree Programs in France

The Internet of Things (IoT) represents a new stage in the digital revolution, fully contributing to the construction of a digital society. Several sectors of the digital society use or will use the internet of objects to improve deployment, exploitation, and industrialization procedures. These include intelligent transport, smart grids, smart city, industry 4.0, and so on. The issues concerning the mastery of the technologies and processes around the internet of objects are enormous and require a very high level of expertise with cutting-edge skills in multidisciplinary areas.

The Master in Data Science & Artificial Intelligence Strategy aims at providing highly advanced methods and techniques to be able to master essential concepts and skills to design and lead effective and responsible AI strategies. Embracing AI and Data Science responsibly is achieved through an integrative learning approach combining technical, strategic and ethical dimensions.

EPITA's Master of Science in Computer Science - Data Science & Analytics program spans 18 months and is taught 100% in English in Paris. This program provides students with a solid foundation of machine learning and programming along with practical experience. Accredited by the CGE (Conférence des Grandes Ecoles). The average annual gross salary of the program's graduates is €40,000.

The Master in Computer Science enables students to acquire the necessary background in computer science while starting to specialize, from the first year, in one of its 9 fields: Computer Science for Networks; Cyber-Physical System; Cybersecurity; Data and Artificial Intelligence; Foundations of Computer Science, High-Performance Data Analytics, Interaction, Graphics, and Design; Operations Research (in French only), Parallel and distributed systems. Laboratory time and projects offer students the opportunity to practice and understand concepts more easily.

Master’s Degree in Computer Science The current digital transition of companies is leading to major developments in information systems (security, access to data, cloud computing) and new uses of IT (BYOD, work from home, etc.). CESI engineers use their technical and scientific skills in this environment to successfully carry out IT projects.

The aim of this master's degree is to train Computer Sciences and Information Technologies experts in order to be able to address the new challenges of the current and future generations of digital societies. Current trends in digital technologies represented by the Internet of things, cyber-physical systems, social networks, cloud computing, big data and cognitive computing, mobile robotics, digital twin, and additive manufacturing have provided the basis for a new industrial revolution named Industry 4.0.

This Control and Robotics - Data Science, Signal and Image Processing (DASSIP) program provides the necessary skills in signal modeling, image processing, and machine learning, relevant to the theory and the practice of data analysis and information retrieval, for the development of modern numerical methods.

The omnipresence of computing in our daily lives, as well as the extension of the Internet to all forms of everyday objects (known as the Internet of Things, in English Internet of Things, abbreviated IoT), have fostered the development and deployment of a new generation of interconnected objects with advanced capture, processing and communication capabilities.

The program offers up-to-date knowledge in areas of applied mathematics related to modeling with partial differential equations.

The digital market is undergoing major changes and the information system has become a tool for productivity, competitiveness and differentiation. The Master adapts and evolves, particularly around web and mobile applications.

The program offers introductory courses in statistical learning, deep learning and reinforcement learning, optimization, signal processing, information theory, and game theory. Numerous options make it possible to perfect oneself in learning theory and to specialize in many fields such as big data, image, and language processing.

This master allows the acquisition of theoretical and practical tools of the discipline. The training contains an essential part of initiation to scientific research. It aims to train graduates to model and solve complicated problems and develop fundamental and applied research in the field. It also provides students with the first approach to applications and learning about the most powerful software.