Introduction:- Staphylococcus aureus is an important bacterial pathogen responsible for a wide range of infections. Methicillin resistant Staphylococcus aureus is defined as a strain of S. aureus that is resistant to all β-lactams including penicillins and cephalosporins (2) . Methicillin resistant Staphylococcus aureus (MRSA) is known to cause community acquired and nosocomial infection. . This study aims to utilize antibiogram typing to detect various phenotypes of Staphylococcus aureus in a tertiary care setup using WHONET software. Material and method:- The study was conducted in Microbiology laboratory of a tertiary care centre from September 2016 – August 2017, after obtaining institutional ethical approval. All samples recieved for culture and suscpetibility testing in laboratory were included. The scatter plot analysis function of WHONET software was used to perform the following:- 1) Two antibiotics from same class, Penicillin and Cefoxitin, (B lactam agents) were plotted against each other on a graph, with Penicillin on X axis and Cefoxitin on Y axis. 2) Two antimicrobials belonging to two different classes were plotted against each other on a graph, with Cefoxitin (B- lactam agent) on X axis and Ciprofloxacin (fluoroquinolone) on Y axis. Result:- Susceptible results were generated in a graphical and tabulated format. The patterns were used to detect 2.1 % Wild phenotypic Staphylococcus, 43.1 % Methicillin Sensitive Staphylococcus (MSSA) and 54.7 % Methicillin resistant Staphylococcus (MRSA) . On comparing antimicrobial drugs from different categories, 39.3 % were found resistant to Cefoxitin as well as Ciprofloxacin indicating MRSA phenotype due to probable cross resistance. Conclusion:- WHONET software is used to generate antibiograms for studying prevalence of various organisms and their drug resistance patterns. It can also be used to perform antibiogram typing using a simple function like scatter plot. Various phenotypes of an organism can be detected in a limited resource set up