MISPA Master of Science in Engineering Profile – Who is this program for?

For those who want to understand and model the world through images

The Master of Science in Engineering MISPA (Mathematical Imaging & Spatial Pattern Analysis) is a highly selective one-year specialization programme (M2). It is aimed at a scientific audience that is curious and motivated by research. This demanding programme heavily relies on mathematics, computer science, and geometric modeling.

Target Profiles?

The admissions committee is looking for candidates with an excellent academic record and a strong aptitude for the theoretical foundations of imaging.

Admission Requirements

Completed first year of Master of Science in Engineering (M1) or any equivalent diploma validating 240 ECTS (Bac + 4).

Typically Admitted Profiles

Students in Mathematics or Computer Science
Who master mathematical tools (analysis, algebra, optimization) and the basics of scientific programming (Python, Matlab, C++, etc.).
Engineering Students
Who wish to strengthen their skills in image processing, applied mathematics, or modeling, and access R&D careers or a doctorate.
Research-Motivated Candidates
Who wish to pursue a doctorate in applied mathematics, computer vision, or scientific imaging.

Essential Key Skills

The MISPA programme is designed for those who wish to go beyond the use of existing methods, and who aspire to understand and develop the science behind images.

Mathematical Rigor
Solid knowledge in algebra, analysis, and geometry (essential for geometric modeling of complex shapes and patterns).
Computational Proficiency
Significant experience in programming and computer science, for the implementation of imaging algorithms and scientific computing.
Interest in Image Analysis
Motivation for the scientific interpretation of images, the development of innovative algorithms, and the study of computational geometry.

A Master of Science in Engineering for International Profiles

The MISPA Master of Science in Engineering attracts students from all over the world every year.

Language Requirement
The Master of Science in Engineering is taught entirely in English. Excellent proficiency in technical English, both written and spoken, is mandatory to follow courses and write the Master of Science in Engineering thesis.
Environment
All courses are taught in English, creating a stimulating multicultural environment and representing a major asset for a global career.

What We Look for in Candidates

Beyond academic background, the admissions committee particularly values:

scientific rigor, essential for approaching mathematical imaging;
intellectual curiosity, to explore new and complex fields;
problem-solving ability, to analyze, model, and demonstrate;
motivation to work in a team, whether in a laboratory or a company;
interest in innovation, algorithms, scientific computing, or image mathematics.

This Master of Science in Engineering is designed for those who wish to go beyond the use of existing methods, and who aspire to understand and develop the science behind images.