Recent advancements in electric propulsion, autonomous tech solutions, and the need of a faster, safer, and greener way of transports lead to the fast development of Urban Air Mobility. In this background in the past years, electric vertical take-off and landing aircraft (eVTOL) has been largely considered as the solution to the issue of urban traffic congestion. The difficulties associated with those types of vehicles are strictly related to complex aerodynamic caused by the presence of multiple smaller rotors spread across the wings. The potential interactions can significantly affect noise generation. The aim of this thesis is to define a low-cost computational methodology, which is able to approximately predict the tonal noise generated by a specific class of eVTOL: drones.