Nursing is a high-demand profession characterized by emotional strain, unpredictable workloads, and chronic exposure to stressors that can lead to burnout and reduced well-being. This study examines perceived stress among nurses at University Hospital using the Perceived Stress Scale (PSS-10). Survey data were collected from nurses across two hospital units and included item-level responses and total PSS scores. Exploratory data analysis was then conducted to characterize stress patterns. Principal Component Analysis (PCA) was used to identify underlying dimensions of stress, followed by K-means clustering and Gaussian Mixture Modeling to uncover distinct stress profiles within the nursing population. Monte Carlo simulation and bootstrapping were employed to evaluate whether observed stress levels differed meaningfully from chance and from an external control group. Results indicate that nurses at University Hospital experience elevated perceived stress, particularly among female nurses, with total PSS scores consistently higher than those observed in the control population. Together, these findings suggest that stress among nurses in this clinical setting is prevalent, systematic, and reflective of broader workplace pressures, underscoring the need for targeted organizational interventions to support nurse wellbeing and sustain quality patient care.