21-23 units 

The minor in data science comprises a core introductory sequence in statistics, computer science, data ethics, and data visualization, plus three elective courses to be chosen from other data-centric and computational courses across departments.

Course List

Code	Title	Units
Core Requirements
MATH 130	Introduction to Statistics 1	3
or MATH 361	Introduction to Modeling with Probability
CS 120	Introduction to Computer Science I 2	4
MATH 492	Ethics in Data Analytics	2
Select one of the following:		3
MATH 451	Data Visualization
BUSI 244	Data Analytics, Spreadsheets, and Data Visualization
Select three of the following: 3		9-11
MATH 250	Data Analysis
MATH 350	Statistical Models
CS 260	Algorithms and Data Structures
CS 430	Artificial Intelligence
CS 432	Machine Learning
BUSI 246	Foundations of Business Analytics
BUSI 314	Big Data Analytics for Business
PSYC 511	Experimental Research Methods
PSYC 512	Non-Experimental Research Methods
PSYC 518 & 518L	Analysis of Variance and Analysis of Variance Lab
PSYC 519 & 519L	Regression and Regression Lab
Total Units		21-23

¹

MATH 130 meets the General Education Quantitative Literacy requirement.

²

Meets a portion of the General Education Oral Communication requirement. Does not fulfill the requirement in total unless taken with CS 290 and CS 480, or ENGR 240 and ENGR 480.

³

At least one course must be outside the student’s home department, and at least one course must be 300-level or higher.

Program Learning Outcomes

Students who successfully complete this program shall be able to:

1. Utilize fundamentals of statistical analysis to glean insight from data.
2. Utilize fundamentals of computer programming to manage and analyze data.
3. Communicate data effectively via visualizations and reproducible reports.
4. Engage critically with issues of data ethics from a Christian worldview.