APPLIED MACHINE LEARNING AND DATA SCIENCE PROJECTS
In this project-based course, student teams will complete semester-long data science research or analysis projects selected from a variety of disciplines and industries. Students will also learn best practices in data science. Cross-list: COMP 449 . Graduate/Undergraduate Equivalency: DSCI 535 . Mutually Exclusive: Cannot register for DSCI 435 if student has credit for COMP 549 / DSCI 535 . Repeatable for Credit.
Prerequisites & course information
Short Title: DATA SCIENCE PROJECTS Department: Data Science Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): COMP 341 or COMP 642 or DSCI 303 or ELEC 378 or ELEC 478 or ELEC 578 or STAT 413 or STAT 613 or COMP 440 or COMP 557 or ELEC 440 or ELEC 557 or COMP 540 or CMOR 438
Sources
- Course catalogue ↗2026–2027