1. Data Analysis and Visualization
  2. Curriculum and Degree Information
  3. Curriculum Requirements

Curriculum Requirements

The M.S. Program in Data Analysis and Visualization requires 30 credits of approved graduate work, including acceptable transfer credits:

  • 15 credits to be allocated among five core courses in the program, chosen by the student and inclusive of at least one course from each of the three program areas:

    • DATA ANALYSIS (Courses in this area include Working With Data: Fundamentals, Data Analysis Methods, and Advanced Data Analysis)

    • DATA STUDIES (Courses in this area include Data, Culture, and Society, and Media Theory and History)

    • DATA VISUALIZATION (Courses in this area include: Visualization and Design, and Interactive Visualization);
       

  • 12 credits in free elective courses from among all GC course offerings, for which they are eligible to register.

    As part of their electives, students can also take up to three 1-credit lab courses in specific coding and markup languages. Each lab course meets one hour/week (or its equivalent during the summer term). 
  • 3 credits for the completion of a Thesis/Capstone project.