Entry requirements

Admission to M2 requires four years of higher education after a high school diploma, or equivalent.

Benefits of the program

M2 in Image Sciences provides students with comprehensive understanding of all theoretical and practical fields of computer science relating to images, from the most theoretical to the most practical: mathematical morphology, geometric algebra, discrete geometry, artificial intelligence, image processing, computer vision, augmented reality, virtual reality, image synthesis and GPGPU. This course is affiliated with a renowned research team and is an applied Master’s for the Bézout Labex.

Non-French-speaking students who enrol in this course can attend classes in English.

Acquired skills

The Master’s provides students with the skills to efficiently perform image processing, implement deep learning systems for image processing and generation, create image synthesis rendering engines, implement virtual or augmented reality programmes or applications, and understand a wide range of theories around geometry and images.

Students will also develop their ability to create, manage and implement any computer science project generally related to images.

International

The course is in partnership with the Unversity of Palermo (Italy) and open to ERASMUS programmes in which the university participates. Work placements can be completed overseas.

Capacities

25

Course venue

Your future career

Graduates can apply for jobs in research and development at major companies in the image field (medical imaging, video games, digital post-production, mobile 3D technology, virtual and augmented reality) as well as development jobs specialised in 3D or image processing.

Many graduates pursue a PhD in the fields of image processing, vision, geometry or image synthesis.

Professional integration

This programme is focused on digital imaging, from acquisition and analysis to synthesis or reconstruction. It covers computer science project management, IT development, and research & development for digital imaging software, relating to the following sectors: large multimedia companies, video games, digital post-production, digital communication and medical imaging. Sectors of activity: digital imaging, image processing, medical imaging, multimedia, video games, digital post-production, digital services. Types of graduate jobs: programmer, developer, IT project manager, IT R&D engineer, IT engineer, consultant, PhD student.

Study objectives

Graduates of the programme will:

- be able to design architectures (software or hardware) for digital image acquisition, analysis, processing, synthesis or reconstruction;

- understand the mathematical and computer science foundational concepts of images, so that they can work in both the theoretical and the practical aspects of this discipline;

- understand and apply algorithms, making it possible to work immediately in both research and cutting-edge imaging software design;

- master solid foundations in C++ and GPGPU development;

- understand material aspects of imaging, and be able to adapt to new devices or software;

- understand and master processes of image acquisition/restitution, analysis, processing and synthesis, which may be used for both software development and design;

- understand and apply processes involved in image and signal processing, with applications in tomography and medical imaging;

- understand the practical aspects of voice coding and information transmission, allowing them to work on video compression projects.

Major thematics of study

The course has 120 ECTS (30 per semester), broken down into the following main areas: algorithms and programming (Java, cryptography, Python and script languages, C++, etc.); image synthesis and simulation; computer vision and virtual / augmented reality; image and signal processing; mathematical morphology and topology / discrete geometry; English; development or introduction to research project.

Calendar

Work placements (15 ECTS, four months min.)

Options

Students can choose two out of four classes to refine their professional orientation in the final semester.