Application Of Decision Tree Classifier To Determine The Selection Of Specialization By Students During Their MBA

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Dr. Pranjal Muley ,Dr.Brijesh Sharma , Dr. Dinesh Gabhane , Sampada Kulkarni , Bhagyashree Khabale


Master degree in Business management after engineering has now a days become a standard de facto. More and more engineering students prefer to opt for Post graduate in Management. The study is based on supervised learning approach and conducted by using decision tree classifier. Tree based approaches allow predictive models with high precision, reliability and interpretative ease. The study attempt to create tree-like graph or decision-model by classifying the attributes and learn the decisions taken by students for opting either MBA with standard specialization or MBA with “Business Analytics/ Data Science” specialization. Standard specialization is considered as “Non-technical” and Business Analytics/ Data Science specialization is considered as “Technical” in the present article. This model is based on the features that hold the information regarding students such as their age, gender, stream opted in graduation, and final graduation percentage to determine their preference while predicting their respective MBA specialization Data is collected through convenience sampling approach via google survey form.

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