Data Science Minor
Students minoring in data science receive exposure to computational and applied statistical techniques. This minor provides a strong foundation for graduate work and academic preparation in the area.
| Course | Title |
|---|---|
| Minor Requirements (6 units) | |
| STAT 202-0 | Introduction to Statistics and Data Science |
| or STAT 210-0 | Introduction to Probability and Statistics |
| or STAT 232-0 | Applied Statistics |
or approved introductory statistics course from another department | |
| STAT 301-1 & STAT 301-2 & STAT 301-3 | Data Science 1 with R and Data Science 2 with R and Data Science 3 with R |
or | |
| Data Science 1 with Python and Data Science 2 with Python and Data Science 3 with Python | |
| NOTE! Students may receive credit for only one Data Science sequence: either Data Science with R (301 sequence), or Data Science with Python (303 sequence) | |
| STAT 302-0 | Data Visualization |
| 1 approved elective course relevant to the minor | |
Courses used to fulfill the requirements for the minor in data science may not be used to fulfill the requirements for another major/minor except where permitted by Weinberg College double-counting rules. When necessary (for example when a student plans to complete a major in statistics and a minor in data science), students can consult the Director of Data Science in the Department of Statistics and Data Science about selection of replacement course(s) to satisfy the credit requirements of the data science minor.
The Data Science Minor for Students in MMSS
For students completing the adjunct major in MMSS, STAT 202-0 Introduction to Statistics and Data Science is waived. Therefore students who are completing an adjunct major in MMSS will need to complete the following requirements for the minor:
| Course | Title |
|---|---|
| STAT 301-1 & STAT 301-2 & STAT 301-3 | Data Science 1 with R and Data Science 2 with R and Data Science 3 with R |
or | |
| Data Science 1 with Python and Data Science 2 with Python and Data Science 3 with Python | |
| NOTE! Students may receive credit for only one Data Science sequence: either Data Science with R (301 sequence), or Data Science with Python (303 sequence) | |
| STAT 302-0 | Data Visualization |
| 1 approved elective course relevant to the minor | |