In recent past, selection of professional institute in India is becoming a strategic issue for a student to get higher education in professional courses. Selection of the right institution should be based on multi-criteria decision-making methods for smart decisions. Five to ten years back, the selection of the professional institutions was less strategic in the absence of ordinal data because of less number of professional institutes were in India. In this work, for selection of best professional institute among a large number of alternatives, we applied multi-criteria decision-making technique with a group of decision makers along with ordinal data of given alternatives. Initially, we aggregated the ordinal data of different choices with each criterion from the binary programming tool. After that, we have the final rankings of various alternatives derived from their group rankings by binary programming along with the criteria weights. With an illustrative case of having five decision makers, five professional institutes and three criteria named as Placement, Infrastructure and faculty profile we have shown the effectiveness of this model.