This article discusses the development of a course maturity model, aimed at improving and aligning academic courses with labor market demands. The model, named Ten Tools for Improving Course (TTIC), is a continuous, cyclic, multi-component structure designed to assess and enhance course quality and effectiveness. Maturity models for the university environment are typically based on very specific, isolated domains, ignoring other key areas of university organizations. Moreover, existing university maturity models generally do not provide directions for activities and practices that enable assessment of the achieved level with the aim of fostering continuous improvement. The present study addresses these limitations by focusing on the “Algorithmization and Programming of Solutions” course at Riga Technical University, utilizing statistical data to predict student performance and reduce dropout rates. By using TTIC, the authors aim to enhance educational quality and develop professional competencies. The model evaluates various factors influencing student success, including content alignment, teaching methods, feedback, and adaptability. The paper highlights the use of statistical analysis to predict student performance and offers strategies for course enhancement.