Home Home
Interdisciplinary Graduate Programs

Interdisciplinary Data Science Group

Website
Faculty Website

The Master of Science in Data Science at the University of Washington gives current and aspiring data science professionals the technical skills to turn large, messy data sets - or big data - into insights people and organizations can use.

 Graduate Program


Interdisciplinary Data Science Group


 Program of Study: Master Of Science In Data Science


Program Overview

The MSDS program is a professional master’s degree designed for students who want to begin or advance their careers in data science. The program is available full-time or part-time. The full-time program is 1.5 years. The part-time program is 2.5 years. The industry-relevant curriculum emphasizes practical proficiency in statistical modeling, data management, machine learning, data visualization, software engineering, research design, data ethics, and user experience. The final two quarters of the program include a capstone project where students work on a real-world challenge facing an external organization.

This program of study leads to the following credential:
  • Master Of Science In Data Science (fee-based)
Admission Requirements

Please visit this program's Graduate Admissions page for requirements.

 Master Of Science In Data Science (fee-based)


Completion Requirements

45 credits

  1. Core courses (39 credits): DATA 511 or HCDE 511; DATA 512, DATA 514, DATA 515, DATA 516, DATA 556, DATA 557, and DATA 558 
  2. Capstone courses (5 credits): DATA 590 and DATA 591
  3. Elective course (1 credit): DATA 598 or any 500-level course
  4. Alternate courses: Students can petition to take up to 10 credits of alternate courses. Students cannot petition to replace DATA 512, DATA 558, DATA 590, and DATA 591.