Analytics Capstone

Undergraduate

This capstone course challenges students to synthesize their knowledge of data science, design thinking, and statistical learning into a substantial applied project. Working with real or hypothesized users, students will define a complex, decision-oriented problem and deliver a validated data product or insight-driven solution. Emphasis is placed on integrating the full data science pipeline, from framing objectives and gathering data to cleaning, modeling, evaluating, and communicating findings. Students will apply methods from prior coursework in data wrangling, visualization, predictive modeling, and human-centered design, while tailoring advanced approaches to domain-specific challenges. The course further trains students in professional skills including iterative project management, documentation, reproducibility, and communication of results to both technical and non-technical audiences. Culminating in a public presentation and professional-grade report, the course provides students with an opportunity to demonstrate readiness to translate data science expertise into real-world impact. PREREQUISITE: AMS 2910 and STAT 3660 Three lecture hours per week