Minor in Data Science

21-23 units
The minor in data science comprises a core introductory sequence in statistics, computer science, data analysis, data ethics, and data visualization, plus two elective courses to be chosen from other data-centric and computational courses across departments.
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 250 | Introduction to Data Science | 3 |
MATH 492 | Ethics in Data Analytics | 2 |
Select one of the following: | 3 | |
Data Visualization | ||
Data Analytics, Spreadsheets, and Data Visualization | ||
Select two of the following: 3 | 6-8 | |
Algorithms and Data Structures | ||
Machine Learning | ||
Foundations of Business Analytics | ||
Big Data Analytics for Business | ||
Experimental Research Methods | ||
Non-Experimental Research Methods | ||
Analysis of Variance and Analysis of Variance Lab | ||
Regression and Regression Lab | ||
Total Units | 21-23 |
- 1
MATH 130 meets the APU Core: Quantitative Reasoning general education requirement.
- 2
Meets a portion of the APU Core: Oral Communication general education 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 elective course must be 300-level or higher.