Minor in Data Science
The Data Science minor is designed to provide students with hands-on experience of the concepts and techniques used in data science, including statistical methodology and data-oriented computing. The minor will provide students from all majors (including science, business, humanities, social sciences, education etc.) with the foundational skills to collect, process, analyze data, and think critically about data-driven problems in their respective disciplines. The minor has a requirement of 32 credits, consisting of 6 required courses (26 units) and 2 elective courses (6 units).
Requirements for a minor in Data Science (32 units)
| Required Courses (26) | ||
| CSE 1300 & 1300L | Introduction to Data Science and Introduction to Data Science Lab | 4 |
| CSE 2010 | Computer Science I | 4 |
| CSE 2020 | Computer Science II | 4 |
| MATH 2210 | Calculus I | 4 |
| MATH 2220 | Calculus II | 4 |
| MATH 2265 | Statistics with Applications | 3 |
| Choose one of the following courses: | 3 | |
| CSE 5160 | Machine Learning | |
| MATH 5360 | Statistical Methods for Machine Learning * | |
| Electives (6) | ||
| Choose two courses from the following list: | 6 | |
| MATH 3465 | Computational Statistics * | |
| MATH 4360 | Linear Statistical Models * | |
| CSE 5120 | Introduction to Artificial Intelligence | |
| CSE 5720 | Database Systems | |
| Total Units | 32 | |
*Note course have prerequisites. Completion of prerequisites or consent of instructor required.