The University of Washington Master of Science in Data Science is an evening program designed for professionals and recent college graduates who want to pursue a career in data science. This program offers a comprehensive, interdisciplinary curriculum, developed by leading faculty from six top-ranked UW departments and schools, in partnership with the eScience Institute:
Combining practically focused and technically rigorous training in statistical modeling, machine learning, software engineering, data management, data visualization and user interface design, the Master of Science in Data Science provides a powerful platform to advance in the data science field.
Classes are held in the evening on the UW campus. You can elect to take the program on a full- or part-time basis. Full-time students take two courses per quarter, attending class two evenings a week to complete the program in one-and-a-half years. Part-time students take one course per quarter, attending class one evening a week to complete the degree in two-and-a-half years.
The curriculum consists of nine core courses and a capstone project. For more details, see the Courses & Curriculum page.
Who Should Apply
The Master of Science in Data Science is geared to working professionals and recent college graduates who want to work in data science.
In addition to a bachelor's degree, applicants must have completed coursework in mathematics and have prior programming experience. For complete admissions requirements, see the Admissions page.
If you’re not ready for a master’s program yet but are interested in learning more about data science, you might consider taking a related certificate program from UW Professional & Continuing Education.
The Certificate in Data Science focuses on teaching the computer science, mathematics and analytical skills needed to enter the field of data science. You will learn the fundamental tools and techniques used acquire valuable insights from data sets at any scale — from gigabytes to petabytes.