Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5800. Applied Capstone in Data Science

3.00 credits

Prerequisites: Enrollment in the M.S. in Data Science program; Department or Unit consent required. Recommended preparation: Nine credits of coursework required for the M.S. in Data Science.

Grading Basis: Graded

This course will give M.S. in Data Science students a problem-based learning opportunity to apply knowledge and skills gained in core and elective courses to an integrative data science project. Projects for the course come from industry and program partners and will typically require students to work in small teams to solve a real-world data science problem.

No classes found.