What are the degree requirements for the M.S. in Data Analytics and Visualization?
To earn the degree, students must complete 21 credits of required foundational courses, including a capstone project, and nine credits of elective courses, which may include an internship. Electives cover diverse topics such as Artificial Intelligence Product Studio, Talent Analytics, and Special Topics like Recommendation Systems and Cloud Computing.