This study analyzes trends in Korean applied music research using content analysis and topic modeling.The research examined 186 papers published in KCI-listed journals from 2002 to 2024.The methodology employed a combination of quantitative techniques, including content analysis, TF-IDF analysis, and LDA topic modeling.Content analysis was used to examine publication patterns over time and across disciplines.TF-IDF analysis was applied to identify key terms and concepts prevalent in the research corpus.LDA topic modeling, a probabilistic method for discovering latent topics in large text collections, was utilized to uncover the main research themes.The optimal number of topics was determined using coherence and perplexity scores.Content analysis revealed an increasing number of publications over time, with a peak in 2020-2021.The research spans various disciplines, with interdisciplinary studies being the most prevalent.TF-IDF analysis identified key terms such as "art," "vocal," "class," and "major," reflecting the field's focus on education and practical skills.Topic modeling uncovered six main research themes: applied music education structure, vocal education specialization, artistic expertise development, practice-oriented learning, university curriculum design, and music industry-linked education.These findings indicate that applied music research in Korea balances theoretical and practical aspects, emphasizing both artistic value and industry relevance.This research contributes to understanding the current state of applied music studies in Korea.