Data-driven approach to curriculum analysis

The choice of an educational program is momentous in young people's lives. Given the shortage of time after exams, applicants usually do not have time to analyze possible educational tracks. Furthermore, it requires a thorough study of learning plans. This research addresses the problem proposing the algorithm to data-driven curriculum analysis based on natural language processing of course names or competences listed in learning plans. Moreover, the intelligent software system architecture is described. The method is tested on the curricula scraped from university websites. In order to store the content a data warehouse has been developed. At this time, there are few studies on this topic. The existing ones are either on the early stages of development or scarce on implementation details. They are briefly discussed in this paper.