Statistics BS Data Science
Program Purpose
Learning Outcomes
Professional Preparation
Graduates will demonstrate the data literacy, computational, and communication skills needed for employment in data science or applied statistics roles. They will also be prepared for lifelong learning and continued professional development in a rapidly evolving field.
Graduates will approach their professional lives with an intentional commitment to moral virtue, acting with integrity, humility, and a desire to serve others. They will uphold high ethical standards in data analysis, communication, and professional conduct, guided by gospel principles and a desire to make meaningful contributions to society.
Graduates will be able to acquire, clean, and manage diverse data types from multiple sources, prepare data for analysis, apply statistical and computational techniques to identify trends and patterns, validate modeling assumptions, and effectively communicate findings through visualization.
Graduates will communicate statistical methods and results clearly and effectively through written reports and oral presentations. They will engage productively and respectfully in teams and professional interactions.
Graduates will develop reproducible workflows and analyze data using modern statistical software. They will write clean, well-documented code and apply foundational programming skills across diverse data contexts.
Graduates will apply core concepts from probability, statistical inference, and calculus to understand and implement statistical methods. They will demonstrate competence in solving problems involving foundational theoretical tools.