In this research, we propose a method of forecasting application demand for qualification exams. Due to the examination dates and venues are predetermined, prospective candidates consider the application deadline and available seats when applying for the exam. Therefore, last-minute applications and the impact of remaining seats is essential. In this paper, we forecast future application demand by multivariate time series data analysis using LSTM. The evaluation reports the results of the comparative experiment of predictive accuracy using the application data of the Eiken S-CBT.