Minor in Data Science
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.
|MATH 130||Introduction to Statistics 1||3|
|CS 120||Introduction to Computer Science I 2||4|
|MATH 492||Ethics in Data Analytics||2|
|Select one of the following:||3|
|Data Analytics, Spreadsheets, and Data Visualization|
|Select three of the following: 3||9-11|
|Algorithms and Data Structures|
|Big Data for Business|
|Experimental Research Methods|
|Non-Experimental Research Methods|
|Analysis of Variance|
and Analysis of Variance Lab
and Regression Lab
Meets the General Education Quantitative Literacy requirement.
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.
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 OutcomesStudents who successfully complete this program shall be able to:
- Utilize fundamentals of statistical analysis to glean insight from data.
- Utilize fundamentals of computer programming to manage and analyze data.
- Communicate data effectively via visualizations and reproducible reports.
- Engage critically with issues of data ethics from a Christian worldview.