The purpose of this study was to examine the implementation flow and development of retail bank management simulation based training system which could provide a comprehensive knowledge about the operations and management of banks for the banking students. The prototype of a Retail banking simulation based training system was developed based on Waterfall model. The research is also about developing a prototype for the simulation based training system and understanding the implementation flow based on a methodology referred as waterfall model. The waterfall model is a sequential development process, in which development is seen as flowing steadily downwards through the phases of Analysis, Design (validation), Implementation, Testing and Integration and Maintenance. During the testing and integration phase, evaluation was done to validate Bank Management Training Simulation system. The prototype was modeled as a client server system. It was developed through Active Server Pages (ASP) server scripting environment and MySQL Server was used to set up the web database for the system. Retail Bank Management Simulation Training system involves the participation of an instructor and a group of participants to initiate a training session. The evaluation was done by twenty-four banking students from a total of six different universities. The evaluation process involves six important aspects in evaluating the usefulness of Retail bank management simulation (RBMS) training system as a training module and to evaluate the user participation in using the system. The variables were measured by using a rating based structured questionnaire. The questionnaires contain a rating scale from 1 to 4 as shown below. Results indicate that 62.7% of the participants have evaluated the content to be excellent. Results show that the majority of the participants of Retail Bank Management simulation (RBMS) training system prefer to have a practical and experienced learning approach especially on the banking industry. It is recommended that additional features such as automated analysis and business intelligence to be incorporated into the system to guide the participants in decision making. (Contains 1 table and 3 figures.)