This work project aims to study what factors can best predict student satisfaction in online learning. A survey was designed based on existing research and distributed among Masters students. The predictor variables were student-content, student-instructor, student-student and student-technology interactions. The data was analyzed using multiple regressions and ANOVAs. The results confirm that student-content and student-instructor interactions area focal point of online learning while suggesting the opposite for student-technology interaction and being inconclusive for student-student interaction. The conclusions should be analyzed with the study limitations in mind, namely the sample used and the COVID-19 pandemic situation
