Multichannel analysis of surface waves (MASW) surveying aims to produce a subsurface shear wave velocity model by obtaining a high-resolution dispersion image of the subsurface. In turn, the resolution of the dispersion image depends on the data acquisition parameters considered for the MASW experimentation. In the current study, an active MASW survey is carried out to obtain the raw wavefield record using the different data acquisition parameters. In an active MASW survey, the active source, such as a sledgehammer, is used to generate the energy in the ground, which is propagated into the ground in terms of surface waves. The motion of ground particles is detected by the set of receivers, and it is recorded as an electric signal in the seismograph, which is digitized and stored. For the present study, the MASW survey is conducted between the M and N blocks of the academic complex at IIT Guwahati using a linear array of geophones. Additionally, the array length and total sampling time of acquisition are varied using different combinations of sampling frequency, offset distance, and number of geophone receivers. For the experimental investigations, the offset distance ranges from 3 to 10 m, using 12 geophones to study its effect on the dispersion image. Further, the study was conducted using sampling frequencies of 3750, 7500, and 15,000 Hz. Moreover, for an offset distance of 6 m, active MASW data was also acquired using 24 geophones with varying sampling frequencies. The wavefield in the time–space domain collected from the MASW survey is then preprocessed, and dispersion analysis is carried out utilizing an open-source Geopsy software package. The obtained dispersion image is analyzed to study the influence of data acquisition parameters, and the dispersion curve is extracted. The dispersion image with the better resolution and distinct fundamental dispersion mode is selected for the inversion analysis. The dispersion curve obtained is inverted to obtain the shear wave velocity profile utilizing the ‘dinver’ module in the Geopsy software. The present study provides the combination of optimal data acquisition parameters for the MASW survey, generating a higher-resolution dispersion image. Further, the overall methodology for acquiring the shear wave velocity from an active MASW survey using the open-source Geopsy software is represented.