At Parul University, the blending of data science with outcome-based education is stirring up some fresh thinking about old teaching methods. This dissertation takes a hard look at that meeting point – where traditional classroom routines seem to lag behind the promise of using real, number-based insights to spark better learning. It dives into piles of quantitative details about how students perform, how involved they are, and whether the curriculum really works as intended, then tries to figure out which ideas might actually improve the way education is delivered. The results, in most cases, hint that leaning into data not only lifts academic scores but also bumps up student engagement and satisfaction—a pattern that shows quite clearly in healthcare-focused programs. Generally speaking, these findings aren’t just academic musings; they signal that data-informed decisions could be key to training healthcare pros who are wedded to tackling today’s unpredictable challenges. The study, with all its twists and turns, also points out that the potential of data science might well extend to other educational settings, offering a kind of blueprint for boosting overall learning quality for tomorrow’s healthcare leaders.