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: DSCI 535 . Graduate/Undergraduate Equivalency: COMP 449 . Mutually Exclusive: Cannot register for COMP 549 if student has credit for COMP 449 / DSCI 435 . Repeatable for Credit.
Prerequisites & course information
Short Title: DATA SCIENCE PROJECTS Department: Computer Science Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 4 Restrictions: Enrollment limited to students in the MDS, OMCS or OMDS programs. Enrollment is limited to Graduate level students. Course Level: Graduate 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