Curriculum and Courses
Students need to complete 30 credits to complete the degree, by taking the following set of courses.
Four required courses (12 credits)
Two elective courses from Elective I (6 credits)
Two elective courses from Elective II (6 credits)
One of two capstone options (6 credits)
The program is designed to be completed within two years.
Required Core Courses (12 Credits):
Capstone Project (6 credits)
A 6-credit capstone project—either the master’s research project option (Option 1), the internship option for professional experience (Option 2), guided research and implementation of projects in project-oriented courses.
- CSc 86180 Capstone Project I in Data Science: 3 credits
- CSc 86190 Capstone Project II in Data Science: 3 credits
- CSc 86210 Capstone Internship in Data Science: 6 credits
Elective Courses (12 credits): Choose two courses in each elective area
Elective I: Analytics Courses (Choose 6 credits)
Elective II: Applications Courses (Choose 6 credits)
Total for M.S. in Data Science: 30 credits