Some of the areas where data science can be used are student admissions cycle, student lifecycle management, career placements, donor relations, financial operations and research/publications. Research itself is a broad area where there are several application of AI including deep learning (natural language processing and computer vision). School admissions is a very critical area for any higher-education institute. On one hand, the institute has to make sure that the quality of students who get admitted is very high and on other hand, confirm that there should be enough good candidates to fill up the class size. The offer/acceptance ratio is important to hit a target where the institute has enough high-quality students to fill up the class size but do not have many more than the class size.