Course Schedule and Catalog
Course Schedule - Fall Semester 2026
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
DSCI 435 002 (CRN: 12822)
DATA SCIENCE PROJECTS
Long Title: APPLIED MACHINE LEARNING AND DATA SCIENCE PROJECTS
Department: Data Science
Instructors:
Meeting: 4:00PM - 5:29PM MW (24-AUG-2026 - 4-DEC-2026)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: 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
Section Max Enrollment: 60
Section Enrolled: 34
Total Cross-list Max Enrollment: 60
Total Cross-list Enrolled: 60
Enrollment data as of: 26-APR-2026 1:09PM
Final Exam: No Final Exam
Description: 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, COMP 449, COMP 549. Recommended 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 440/557 or ELEC 440/557 or COMP 540 Repeatable for Credit.