In recent years, the demand for highly accurate and reliable inertial sensors has significantly increased, driven by the rapid expansion of applications in navigation systems, aerospace, autonomous vehicles, consumer electronics and industrial monitoring. Among these sensors, gyroscopes play a crucial role, providing angular rate measurements that enable precise motion tracking and orientation estimation. The work presented in this thesis is geared towards gyroscopes based on Micro-Electro-Mechanical Systems (MEMS) technology, widely adopted due to their low cost and compatibility with standard CMOS processes. However, these sensors are inherently prone to significant error sources that degrade performance over time. Accurately characterizing these low-frequency errors proves difficult, as standard software-based simulation tools often struggle to capture slow noise dynamics efficiently, requiring prohibitively long simulation times.