| 2020 | 데이터마이닝을 이용한 국민건강보험가입자의 진료과목 예측모형 개발 | 안효주 | Master's Thesis |
| 2020 | Improving Session-Based Recommendation Approach by Exploiting User Behavior Count | 위승민 | Master's Thesis |
| 2020 | Analysis of Temperature Data using Bivariate Distribution | 박수경 | Master's Thesis |
| 2020 | Hyper-personalized customer prediction by machine learning | 박경빈 | Master's Thesis |
| 2020 | A Study on the Application of Bivariate Weibull Distribution to Life Insurance | 임지연 | Master's Thesis |
| 2020 | 비모수 방법을 이용한 연속 확률 변수와 이산 확률 변수의 독립성 검정 | 양진영 | Master's Thesis |
| 2020 | 서울시 상권 데이터의 시각화에 기반한 매출액 예측 | 김미성 | Master's Thesis |
| 2020 | Understanding Deep Neural Network for images and texts from a statistical point of view | 이하경 | Master's Thesis |
| 2020 | Forecasting Realized Volatility Using Data Normalization and Recurrent Neural Network | 이윤주 | Master's Thesis |
| 2020 | Choice between Frequency History and Aggregate Severity History in Collective Risk Model | 이영주 | Master's Thesis |
| 2020 | Hierarchical Clustering Application on Extended Sufficient Dimension Reduction Methods | 유채연 | Master's Thesis |
| 2020 | Semi-Supervised Regression for Survival Analysis | 이시영 | Master's Thesis |
| 2020 | A Study on the Predictive Model of Amount of Calls to take a Call Taxi in Gwangju | 박현지 | Master's Thesis |
| 2020 | Numerical Comparison of Hierarchical and K-means Clustering Algorithm in K-means Inverse Regression | 유연주 | Master's Thesis |
| 2020 | A study on Sentiment Analysis with Multivariate ratings in Online Reviews | 임소현 | Master's Thesis |
| 2020 | A Study on Various Deep Learning Algorithms with R | 박정민 | Master's Thesis |
| 2020 | Prediction of Road Accident Severity | 오혜윤 | Master's Thesis |
| 2020 | Predicting the Volume of Daejeon Call-Taxis using Machine Learning | 이혜민 | Master's Thesis |
| 2020 | 인과매개분석 방법을 이용한 청년사회경제실태조사 자료 분석 | 장세현 | Master's Thesis |
| 2020 | 머신러닝 기법을 이용한 서울시 도로 통행 속도 예측 | 이은진 | Master's Thesis |
