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 of Data Analysis, Data Studies, and Data Visualization
• 12 credits in elective courses
• 3 credits for the completion of a Thesis or Capstone project

Required Core Courses

Data Analysis

• Working With Data: Fundamentals 
• Data Analysis Methods 
• Advanced Data Analysis 

Data Studies

• Data, Culture, and Society 
• Media Theory and History

Data Visualization

• Visualization and Design
• Interactive Visualization