In this study, we applied a series of technologies for term extraction and self-organizing maps to text data in the master's theses published by graduate programs related to Information Communication in Taiwan in order to visualize the information about research topics as well as the distribution of the theses among those topics to analyze the development and trends in the field. The self-organizing map generated via the process of information visualization in the study reveals several important research topics in the field of Information Communication, and the positions of these topics on the map also show the high relevance with their related basis disciplines. For analyzing the developments in the field, these theses were mapped into the self-organizing map according to the academic year of publication. The results show that the field of Information Communication has not only emerged from multi-disciplinary integration since its early development, but is also able to find new research topics from the process of technology development and social change.