Magnitude Squared Coherence is a signal processing tool that indicates how well two time domain signals match one with the other by tracking linear dependencies in their spectral decomposition. SCAN was the first way to use it as a SCA. This paper introduces two ways of using the Magnitude Squared Coherence in Side Channel Analysis. The first way is to use it as a distinguisher while the second consists in using it to transform the side channel traces in an worthwhile manner. Additionally, an algorithm for fast computation of the SCAN is provided.