

I completed my M.Sc. in Medical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg, and overall it has been a very valuable and enriching experience.
The program offers a strong combination of engineering, medical imaging, and data-driven methods. Courses such as MRI, biomedical signal processing, and machine learning provided both theoretical depth and practical exposure. I especially appreciated the balance between physics-based understanding and modern AI techniques.
One of the highlights of my studies was the opportunity to work on a hands-on thesis project involving intuitive robot control using EMG and IMU signals. This allowed me to apply concepts like signal processing, machine learning, and robotics control (e.g., Cartesian control and simulation using MuJoCo) to a real-world problem.
The university provides good research opportunities, and institutes like AIROB/FAPS offer exposure to cutting-edge robotics and automation projects. Collaboration between disciplines is also a strong point.
However, some courses can be quite theoretical, and students may need to take extra initiative to gain more practical or industry-oriented experience. Additionally, navigating administrative processes can sometimes be slow.
Overall, I would definitely recommend this program to students interested in medical imaging, biomedical signal processing, robotics, or AI in healthcare. It provides a solid foundation for both research and industry careers.