M.S. Curriculum and Degree Requirements

The M.S. in Data Science requires a total of 30 credits, arranged as follows:

  • Four required core 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

Course Schedules

Courses are offered via the Ph.D. program in Computer Science.

View course schedules

Students can also access CUNY's Dynamic Course Schedule.

Detailed Course Requirements

Choose 2 courses from the following:

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
student seen studying at individual work stations in the Mina Rees Library

Academic Calendar

Be sure to review our academic calendar for important dates, deadlines and holidays to take into account when planning your course schedule.

View the current academic calendar