Become a Leader in the Era of Big Data

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

There is a growing demand in our region for professionals with degrees in data science. Seattle is one of the intellectual centers of this emerging field, and the Seattle University MS in Data Science connects students with local industry for projects and networking. For their capstone project, student will work in small teams to define and carry out a data science project in collaboration with industry partner.

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Projected Job Growth, 2019-2029

Data science is one of the fastest growing jobs in the world. 

US Bureau of Labor Statistics

Quarters to Graduation

45 credits, with evening courses suited to working professionals.

Median Annual Salary

Even first-year data scientists average $100k+ annual salary. 

US Bureau of Labor Statistics

Seattle University MS in Data Science Learning Outcomes

At graduation, students with a masters in data science will be able to:

  1. Apply appropriate analytical and computational methods to solve real-world problems effectively.
  2. Communicate technical information effectively to a specific audience via speech, writing, and data visualization.
  3. Identify and propose well-reasoned means of addressing moral or ethical challenges in the practice of data science.
  4. Exhibit constructive and inclusive collaboration and teamwork skills.
  5. Demonstrate (by means of a capstone project) deep contextual experience of goal-setting and delivery of recommendations in at least one specific domain.

Industry Advisory Board

Seattle University works with local and national tech and business partners to develop curriculums relevant to changing job markets. The MS in Data Science consults with an external Industry Advisory Board that includes representatives from: The Allen Institute, Amazon, Boeing, Facebook, The Fred Hutchinson Cancer Research Center, Microsoft, Tableau, and many other companies and organizations in the Seattle area. 

Early Action Deadline

The Early Action deadline for the program is March 1.

Tuition and Fees

Please visit the Graduate Tuition page for complete information on tuition and fees. There are Graduate Scholarships available to applying students.


Prospective Students Events

Headshot of Dr. McLean Sloughter
Dr. J. McLean Sloughter

Program Director - MS in Data Science

Data Science Questions