The evaluation of academic load is necessary and constitutes a fundamental process in the design and redesign of programs. This is because an excessive academic load can have academic consequences such as lag, as well as effects on mental health, including depression, anxiety, burnout, self-esteem problems, among others. Academic load is a complex and dynamic topic, resulting in the absence of a single approach to its study and measurement. In this sense, this work proposes a mathematical model of linear programming. The case study evaluated in Magister, a Chilean university. The results reveal an even distribution of academic load between semesters and courses within the program. As the semesters progress, the academic load tends to increase gradually. Integrated courses, such as Course 10 and Course 11, have higher loads compared to others. In the third semester there is variability in the academic load, with one course concentrating most of the study hours. In total, 294 hours of study are required to complete the program. A comprehensive review of academic load distribution is recommended to ensure an equitable and manageable educational experience for students.