The Seattle University Master of Science in Data Science is an interdisciplinary program focused on the study of data-driven decision making. Recent decades have seen a rapid expansion in data collection, and the magnitude of that data impacts every industry. The masters in data science program combines the developmental aspects of statistics and computer science to bring data analysis and modeling to bear on real-world problems. The degree program requires the completion of 45 credits.
Themes: Science, Technology, Engineering, and Math (STEM)
Program Length: 2 years
Entry Term: Fall
Credits: 45
Seattle University MS in Data Science Learning Outcomes
At graduation, students with a masters in data science will be able to:
Apply appropriate analytical and computational methods to solve real-world problems effectively.
Communicate technical information effectively to a specific audience via speech, writing, and data visualization.
Identify and propose well-reasoned means of addressing moral or ethical challenges in the practice of data science.
Exhibit constructive and inclusive collaboration and teamwork skills.
Demonstrate (by means of a capstone project) deep contextual experience of goal-setting and delivery of recommendations in at least one specific domain.
https://www.seattleu.edu/scieng/math/msdatascience/
Master of Science in Data Science program offers a curriculum - https://www.seattleu.edu/scieng/math/msdatascience/program-summary/
Master of Science in Data Science - Required Courses - https://www.seattleu.edu/scieng/math/msdatascience/course-descriptions/