Purpose of the article: this article aims to determine factors influencing the learning outcome of the course ‘Information Systems in Accounting”, as well as, to determine the data structure of the final test, to improve the study programs. Methodology: Based on the synthesis of specialized literature, it was hypothesized that students who had a higher level of training in the courses of “Fundamentals of Accounting”, “Information Technology” and “Financial Accounting” received high results in the course of Information Systems in Accounting. To achieve the aim, was applied data of the academic performance of the students of the specialty Finance and Banking (sourсe: academic database of the State University of Moldova) and the results of the final test of the course “Information Systems in Accounting” (source: platform Moodle). Graduation period: 2022– 2023. The accumulated data was processed with the Data Mining technology. Intelligent data processing was performed with the analytical platform Deductor: Kohonen Maps, Decision tree. Also, the author applied traditional research methods: analysis, synthesis, comparison. Conclusions: The research carried out allowed the delimitation of 5 clusters. This clustering allowed us to find that high results (ECTS grades A, B, C) in the three disciplines “Fundamentals of Accounting”, “Information Technology” and “Financial Accounting” gave a high result in the course “Information Technologies in Accounting” (ECTS A). And the results in three disciplines (ECTS grades E, D, C) made it possible to reach only the ECTS B, C, D grades. For the course “Information Technologies in Accounting” the significant base course is the course “Financial Accounting”. Were identified items of the final test that require more detailed analysis. Originality: the research helps identify the data structure and relationships between courses using the Data Mining methods are proposed for the decision-makers and responsible for educational programs in order to improve the study programs.