Abstarct: Iran is one of the richest countries in mineral deposits in the world. Copper is one of the most important minerals. Because of widespread application in industry Copper is one of the strategic elements of the development and its value is increasing day to day. After porphyry copper deposits, sedimentary hosted copper deposits are the most important deposits in the world and allocated over 23% of global copper production to itself. Collection of copper ore in South Torud Oligomiocene units is one of the sedimentary deposits that formed one of richest copper mines in Semnan province in the margin central desert. Exploration and exploitation of mineral resources in this area can substantial assistance to the economic situation of people in these areas. Nowadays the application of the geophysical methods in mineral exploration and selecting suitable places for exploration is common. Selecting the appropriate method or methods for determining the suitable location of a deposit is depends on nature of mineral composition in the ore and host rocks. According to the structure of mineralized zone in the area, IP and resistivity geophysical methods were suitable to acquire geophysical data. Simultaneous interpretation the results of these geophysical methods with the results of geological data and drilling trenches in the area can provide an estimate of extents and depths of mextal mineralization. The aim of this thesis is exploration of Band-Ghichi copper deposit by using the results of the modeling and interpretation of IP and resistivity data that acquired over the three distinct profiles in this region. Geophysical profiles have been design in the perpendicular to the geological structures of the area and in areas where there are mineral outcrops. Also geological information of region consists of geological section, trenches and observed geological information have been used in order to more accurate interpretation in geophysical sections. Inverse modeling of IP and resistivity data have been done by using of RES2DINV software and then two dimensional sections have been interpreted. The results of the modeling lead to the identifying three zones of probable mineralization where these mineralization zones considerably agree with geological section, drilled trenches and other geological information. On the other hand, the 2.5 dimensional views of profiles represent the continuity of the mineralized zones with northwest-southeast trend.