Statistics BS Statistical Science

Program Purpose


Learning Outcomes


Academic and Professional Preparation

Graduates will demonstrate the statistical, computational, and communication skills needed for advanced study or employment in statistics or related disciplines. They will also be prepared for lifelong learning and continued professional development in a rapidly evolving field.

Courses that Contribute: None
Linked to BYU Aims: Intellectually Enlarging
Gospel-Centered Professionalism

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.

Courses that Contribute: None
Linked to BYU Aims: Intellectually Enlarging
Mathematical and Theoretical Foundations

Graduates will apply principles of probability, statistical inference, and calculus to understand and derive statistical methods, connecting theoretical concepts with applied settings, and solving problems beyond basic probability, inference, and calculus.

Courses that Contribute: HLTH 440 STAT 286
Linked to BYU Aims: Intellectually Enlarging
Statistical Modeling

Graduates will apply statistical methods to analyze real-world data using appropriate models and software. They will assess assumptions, quantify uncertainty, and communicate findings effectively to both technical and non-technical audiences.

Courses that Contribute: None
Linked to BYU Aims: Intellectually Enlarging
Communication and Collaboration

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.

Courses that Contribute: None
Linked to BYU Aims: Intellectually Enlarging
Computing Skills

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.

Courses that Contribute: None
Linked to BYU Aims: None

Evidence of Learning


Learning and Teaching Assessment and Improvement