Designing and offering new courses to students is a very important task to higher education decision makers, especially in dynamic and changed environment, where data sets regarding students are limited and does not contain substantial information. In this case ‘‘weka’’ was found by the authors to be used as a data mining analysis tool with no obstacle. In addition, this tool was found (during analysis) as a good predication on the success of students in their studies along the years, where the Final grade attribute could be used as a key influencer for prediction alongside other attributes such as: Type of studies (Part time/Full time), Age, Employment and the Type of study taken by the student. This finding, that using only several attributes for analysis, where the Final grade is used as a key player in the over whole prediction process was found as very interesting for implication in the higher education system from the aspect of design, offer and budget planning for higher educational programs.