Minor in Statistics
Overview
Statistics can shape how we view society and culture –– identifying trends, finding patterns and making decisions in the face of uncertainty. Statisticians interpret raw data and create meaning out of numbers, helping audiences understand why it matters and what it says about our world. Biola’s statistics minor gives students the tools to look at data critically and in new and thoughtful ways. You’ll learn how to analyze data, graph and create clear-cut and dynamic presentations for target audiences. This rigorous minor offers a deep dive into theory. Through our practicum class, you’ll practice applying the theories you’re learning to real-life situations. Because of our distinctive apprentice approach in the practicum class, you will learn the full arc of completing statistical projects. Integrating your biblical training throughout our technical program, you’ll be prepared to work in the field of statistics or pursue a graduate degree.
Courses
Below are the course requirements for this academic program. In addition to these program-specific requirements, all majors include Biola's traditional undergraduate core curriculum. For more program details, including a sample course sequence, visit Biola's academic catalog.
Mission
The mission of the Statistics and Data Science program is to equip students from different majors to obtain valid data and use it to answer the questions they face on the job and in the world, with a biblical worldview.
Curriculum Requirements
A Statistics minor is offered with the completion of 27 credits.
| Code | Title | Credits |
|---|---|---|
| Program Courses | ||
| CSCI 105 | Introduction to Computer Science | 3 |
| MATH 150 | Calculus I | 4 |
| MATH 151 | Calculus II | 4 |
| MATH 250 | Calculus III | 4 |
| MATH 318 | Biostatistics | 3 |
| or MATH 332 | Mathematical Statistics | |
| MATH 470 | Statistics and Data Science Capstone | 3 |
| Program Electives | ||
| Select two of the following courses: | 6 | |
| Statistics II | ||
| Statistics and Data Science Consulting Practicum | ||
| Data Structures | ||
| Database Management | ||
| Topics in Computer Science | ||
| Business Analytics | ||
| Advanced Business Analytics with Machine Learning and AI | ||
| Total Credits | 27 | |