The Second Major in Data Science
Data Science Core Requirements
| Code | Title | Units |
|---|---|---|
| Math 131 | Calculus I | 3 |
| Math 132 | Calculus II | 3 |
| Math 233 | Calculus III | 3 |
| CSE 131 | Introduction to Computer Science | 3 |
| CSE 247 | Data Structures and Algorithms | 3 |
| CSE 217A | Introduction to Data Science | 3 |
| CSE 314A | Data Manipulation and Management | 3 |
| Math 309 | Matrix Algebra | 3 |
| Math 3211 | Statistics for Data Science I | 3 |
| Math 4211 | Statistics for Data Science II | 3 |
| Math 439 | Linear Statistical Models | 3 |
| CSE 417T | Introduction to Machine Learning (or Math 4601) | 3 |
Data Science Technical Electives
Four courses from Mathematics & Statistics or Computer Science & Engineering can be chosen from an approved list, with the following caveats:
- At least one course from Mathematics & Statistics (at the 400 level or above)
- At least one course from CSE (ending in S, T, M, or A)
Ethics and Professional Responsibility Requirement
- One course (or 3 units) from an approved list
Practicum Requirement
- 3 units of CSE 400E Independent Study taken at the same time the student is embedded in a research group (on campus or in a company) or industry, with a sponsor or advisor serving as the student's mentor