As you progress through the Katz School’s 30-credit MS in Data Analytics and Visualization program, you will develop a work-ready portfolio of projects and deepen your understanding of the core principles, patterns, and practices of data science and visualization. The MS can be completed in as quickly as 12 months, or part time at a pace that makes sense for you. To earn your degree, you must complete 21 credits of required foundational courses, including a capstone project, as well as nine credits of elective courses, which may include an internship.

View typical course sequences for full-time or part-time students, and course descriptions.

Core Requirements (21 credits)
Course Credits
Analytics Programming 3
Computational Math and Statistics 3
Project Management for Data Science 3
Business Modeling and Data Analysis 3
Structured Data Management 3
Visual Design and Storytelling 3
Capstone 3
Electives (select 9 credits)
Course Credits
AI Product Studio 3
Data-Driven Organizations 3
Data Product Design 3
Data Science 3
Information Architectures 3
Talent Analytics 3
Independent Study 3
Internships 3
Special Topics 3