Program

This new following program starts for the 2025-2026 academic year.

The M2 ATSI aims to train students with a coherent program to address academic and industrial topics in the domains of

• systems and control,
• signal & image processing, and
• statistical learning and related field like machine learning.

The courses focus on methodological foundations and recent developments in these fields, which intervene directly or indirectly in many disciplines such as optics, medicine, robotics, energy, automotive…

First Semester

Mandatory courses

Control Signal Image Stat.

The core syllabus covers the concepts that are common to and essential for all the subjects covered in the master’s program, whatever their orientation in control or signal-image.

• Estimation
• Optimization
• Statistical Learning and Reinforcement Learning

and

• Introduction to research
• Mathematical tools for control, signal and image processing

Optional

• Scientific computing with Python

Two elective courses among four

• Computational statistics Signal Image Stat.
• Control of multivariable linear systems Control
• Signal processing and imaging systems Signal Image
• Stability of nonlinear systems Control

Second Semester

Four elective courses among height

Students must choose four elective courses among height

• Advanced methods in image processing Image Stat.
• Control for robotics Control
• Hybrid systems Control
• Inverse problems Signal Image Stat.
• Machine Learning Image Stat.
• Medical imaging Image C.V.
• Model predictive control Control
• Multi-agent systems Control

Internship

Minimum duration of 4 months between April and August in academic or industrial environment, with a report and a defense.