In most of the countries, students have to select a subject/stream in secondary education
phase. Selection of subject/stream is crucial for students because further their career proceeds according
to their selection. Mostly subject/stream selection cannot be changed in the further career.
Inappropriate selection of subjects due to parental pressure, lack of information etc. can lead to limited
success in the selected stream. Guidance for subject/stream selection based on information of
successful scholars of their stream and information of students such as interest, family background,
previous education and other associated can enhance the success in career. A data mining and machine
learning based methods were developed on the above information. Data from the different institution
and students of two different streams were used for training and testing purpose. Different
machine learning algorithms were used and methods with high accuracy (86.72) were developed.
Developed method can be extended and used for different subject/stream selection.
Keywords: Secondary education, subject selection, support system, career, student, machine learning.
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