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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.
 
Option 1:

  • CSc 86180 Capstone Project I in Data Science: 3 credits
  • CSc 86190 Capstone Project II in Data Science: 3 credits
 

Option 2:

  • 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