CME218

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Applied Data Science

Course Description

This is a multidisciplinary graduate level course designed to give students hands-on experience working in teams through real-world project-based research and experiential classroom activities. Students work in dynamic teams with the support of course faculty and mentors, researching preselected topics. Students apply a computational and data analytics lens and use design thinking methodology. The course exposes students to important techniques in applied data science as well as to the soft skills necessary for success in applied data science, such as ethics, unintended consequences and team building. Enrollment by application only. Graduate students only. The course application closes Sept 25, 2023. Application and more information: https://forms.gle/gzGXkJmGMVYuJabK7

Cross Listed Courses

Grading Basis

RLT - Letter (ABCD/NP)

Min

3

Max

3

Course Repeatable for Degree Credit?

Yes

Total Units Allowed for Degree Credit

6

Course Component

Practicum

Enrollment Optional?

No

Programs

CME218 is a completion requirement for:
  • (from the following course set: )
  • (from the following course set: )