U WMaster of Science in Data ScienceUniversity of Washington · Seattle, Washington, United States

Program Overview

Dates and tuition are specific to the 2027 intake

Please check the official program website (link below) for specific writing guidelines

Essay 1

Maximum 600 words. Official 2025–2026 prompt; confirm if the next cycle changes questions.

CV or resume

Strongly recommended one page, single-sided, focused on data science credentials and related jobs or internships.

Prerequisite skills documentation

Document CS and math skill proficiencies in the Additional Information section as specified on the Prerequisite Skills page.

Recommendation letters x 2

May arrive up to two weeks after the application deadline.

Essay 2

Maximum 500 words. Choose one data-communication example from the program's linked page.

Academic: Bachelor's degree with GPA 3.0/4.0; Minimum 3.0 GPA for the last two years of graded undergraduate and/or graduate study (last 60 semester or 90 quarter credits). Applicants below 3.0 may still be considered if otherwise outstanding and should address this in Additional Information.
Prerequisites: Coursework prerequisites; Must document Computer Science and Mathematics prerequisite skills via completed graded for-credit coursework covering listed skill areas, or a technical endorsement from a professional or instructor documenting those skills in specific projects. Incomplete or future coursework is not accepted as demonstration.
IELTS: 6.5 overall; Graduate School minimum. Recommended 7.0 overall (ELP Satisfied).
TOEFL: New scale: 4.0 overall | Old scale: 80 overall; Graduate School minimum for tests on/after 21 Jan 2026. Recommended 4.5 overall (ELP Satisfied).; Graduate School minimum (ELP Not Satisfied). Recommended 92 overall (ELP Satisfied). New 0–6 scale for tests on/after 21 Jan 2026.