University of California, Los Angeles Henry Samueli School of Engineering and Applied Science 34 courses
The minor is intended to expose students to the entire data science life cycle from both foundational and application perspectives. The foundational courses provide the engineering skills to collect, cleanse, and store data; analyze and draw inference from data; and take action and make decisions. A wide-ranging list of interdisciplinary courses focuses on various data-science applications using these skills.
The Minor: Required Lower-Division Courses (8 units)
Complete the following two courses:
| Code | Course Title | Credits |
|---|---|---|
| COM SCI 32 | Introduction to Computer Science II | 4 |
| MATH 33A | Linear Algebra and Applications | 4 |
The Minor: Required Upper-Division Courses (12 units minimum)
Complete three courses as follows:
The Minor: Required Upper-Division Courses (12 units minimum): Probability
Select one course from:
The Minor: Required Upper-Division Courses (12 units minimum): Data Science
Select one course from:
| Code | Course Title | Credits |
|---|---|---|
| COM SCI M148 | Introduction to Data Science | 4 |
| EC ENGR M148 | Introduction to Data Science | 4 |
The Minor: Required Upper-Division Courses (12 units minimum): Data Mining or Machine Learning
Select one course from:
| Code | Course Title | Credits |
|---|---|---|
| COM SCI 145 | Introduction to Data Mining | 4 |
| COM SCI M146 | Introduction to Machine Learning | 4 |
| EC ENGR M146 | Introduction to Machine Learning | 4 |
The Minor: Elective Upper-Division Courses (8 units minimum)
Select two courses from following list. Electrical and Computer Engineering 183DA and 183DB must both be taken to satisfy requirement. Courses used to satisfied the required upper-division courses may not be used to satisfy the elective courses.
Click a course code or title to read the full course description.
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