Vehicle noise emission regulations are becoming more stringent each passing year (e.g. pass-by noise requirement for passenger vehicles is now 74 dB(A) in some parts of the world). The common focus areas for noise treatment in the vehicle are primarily on three sub-systems i.e., engine compartment, exhaust systems and power train systems. Down- sizing and down- speeding of engines without compromising on power output has meant use of boosting technologies that have produced challenges to design low-noise intake systems minimizing losses and meeting today’s vehicle emission regulations. There are multiple sources of noise in an intake system. Thus an understanding of the sources of noise in the intake system is needed. One such boosting system consists of Turbo-Super configuration with elements like air box filter, outlet manifold and intercooler. In the present work, the full system level modeling is considered for a dual boosting system of turbo-super configuration from an NVH perspective. The supercharger as one of the sources of intake noise was considered as a component and noise radiation from components upstream and downstream of the supercharger were calculated. For this analysis, the source impedance and strength of supercharger measured from noise testing are considered as inputs to the development of full system level acoustic model. There were challenges in modeling elements like the intercooler and air box which were addressed during development of this methodology. The system level noise prediction is presented through one way fluid structural interaction simulation. For this full system, the structural FE model is done in ANSYS and the acoustic duct model, which is negative of the structural model, is developed using acoustic FE in LMS Virtual Lab. The results of the duct acoustic model is used to excite the structural FE model at the wall boundaries. Finally the radiated noise is calculated from the structural model vibration results using the boundary element method (LMS) The results are then compared with the test. This improved technique in intake acoustic modeling of a supercharged engine is useful for accurate identification and ranking of noise radiating components in the full system and allows for quick and effective design decisions to minimize the radiated noise.