In the modern educational landscape, students choose a wide variety of courses from their university’s curriculum, each of which could have an impact on their academic career. As these decision-making processes are quite complex, they seek recommendations that address both their personal strengths and weaknesses. This paper introduces a novel approach to a course recommender aimed at optimizing a student’s Grade Point Average (GPA) using the Thompson Sampling Algorithm. The proposed model offers a complete solution by recommending a well-chosen set of courses that not only leverage students’ strengths but also consider their weaknesses, reducing the possibility of adverse GPA outcomes. The study's motive is to provide a personalized, data-driven approach to help overwhelmed students choose courses from their extensive curriculum, facilitating their academic success. Thompson Sampling—a technique within the Multi-Armed Bandits framework, also called as an exploration–exploitation technique, allows the model to recommend courses based on a student's prior grades. By employing a probability distribution for each course, the algorithm balances the exploration of unregistered courses and the exploitation of well-performing ones, resulting in the best possible recommendations. The model's ability to cater to each student's distinct abilities, preferences, and aspirations is what makes it innovative. The approach provides a balanced academic journey by guiding students through courses that align with their strengths along with courses that target their deficiencies. The paper provides an alternate methodology for students to stop depending on external biased opinions on recommended courses and instead offer a customized, data-backed approach. The proposed model achieves an accuracy of 84.8%, a precision of 87.12%, a recall of 89%, and an F1-score of 88%, surpassing existing methods. This encourages a holistic academic experience while empowering students to make decisions that reflect their potential and are well-informed, thereby improving their grade point average.