Master of Science in Data Science
Introduction
The Master of Science in Data Science at National University focuses on developing, implementing, and maintaining hardware and software tools for efficient use of big data. Students study statistical topics and progress through machine learning, analytic programming, and artificial intelligence. The curriculum includes core requirements and one specialization chosen from Artificial Intelligence and Optimization, Business Analytics, Database Analytics, Health Analytics, and AI Leadership.
Students complete 15 courses and at least 45 graduate semester credit hours. Core requirements include courses in statistical modeling and data analysis using R, applying data management for analytics, data mining and predictive modeling, and analyzing continuous and categorical data for knowledge discovery. After core and specialization coursework, students complete a capstone course sequence with analytic project design, implementation, technical writing, project presentation, and a written thesis.
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.