Satisfaction is important for every situation in our life. When it is related to our future career it is more important. Our future career depends on our university life. So, university life is a very important and precious time for a student. If a student passes this life with dissatisfaction, it has an impact on their future career. There are many reasons behind dissatisfaction of students in university life. After completing college life, some student gets a chance to admitted into public university and rest of them are admitted into national university or private university. In private university they are many subjects to choose for undergraduate study. But, in recants days most of the students choose Computer Science for their undergraduate study. Some students are satisfied with their choice and some are dissatisfied. So, in our research work we are trying to find out the reason for Computer Science students' satisfaction and dissatisfaction. We collect data from Computer Science students in different private universities in Bangladesh. We found 300 participants for our research work. We collect 300 student's data and we categorize them as satisfied and dissatisfied students. In this research work we are trying to show the systematic way of collecting satisfied and dissatisfied students' data. After collecting data, we try to process, analyze and visualize the data. Therefore, our goal is to find out the reason for students' satisfaction and dissatisfaction. We make a clean dataset of those data. And Machine learning algorithms can easily classify and predict output from those data. We hope that our dataset will be helpful for the machine learning researcher. And they get appropriate output from our dataset.