

Master of Science in Data Science
- Public University
Department of Computer Science and Engineering
Master of Science in Data Science at Washington University Overview
The University of Washington Master of Science in Data Science course, recognized as a top course in the university. Students who are looking for admission, can complete their course within the duration of 18 months.
To enroll at the course, students are required to submit certain important documents which may vary on various factors including the country of origin, qualification and more. The documents required at the University of Washington for the Master of Science in Data Science include academic qualification, test scores, English language test results, interview, CV and others. The English language tests accepted at the university are IELTS, TOEFL and Duolingo. Students looking for admission are suggested to enroll as early as possible because the availability of the seats is limited.
The University of Washington tuition fees for the first-year international student is USD 34,200 for Master of Science in Data Science. However, other than tuition fee, students should also manage their budget for food, books, supplies, utilities, etc. The average cost of living at University of Washington is approximately USD 15,747 but this may differ as per the lifestyle and the personal expenses of the individual.
Duration | 18 months Get Curriculum |
Tuition & Fees | ₹31.54 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
- Curriculum
- Entry Requirements
- Application Process
- Rankings
- Placements
- Highlights
- Scholarships
Master of Science in Data Science at Washington University Fees
Students can pursue University of Washington Master of Science in Data Science at an affordable cost. The university tuition fees for the program is USD 34,200. Apart from tuition fees, students also manage additional costs such as Hostel and Meals, Transportation, Books and Supplies, Personal Expenses, etc. The total expense may vary at the university, depending on the additional charges levied by the University of Washington.
International students have to make a budget to manage the cost of living, which is USD 15,747.
Students can check the table below for University of Washington Master of Science in Data Science fee breakup:
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 31,54,352 |
Fees components | Amount (for 1 year) |
---|---|
Hostel & Meals | INR 13,97,231 |
Insurance | INR 1,59,359 |
Master of Science in Data Science at Washington University Curriculum
By clicking on the green icon below, students can download the PDF format of the university’s curriculum. From subjects taught to program credits, electives/specializations to choose from, and the semester-wise course structure. This PDF is packed with every detail of the University of Washington for Master of Science in Data Science. Download now!
Download exam sample paper
Master of Science in Data Science at Washington University Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- Applicants are required to have a four-year bachelor’s degree from an accredited institution in the United States or its equivalent from an international institution
- Applicants are required to have a GPA of at least 3.0 for the last 60 graded semester credits or the last 90 graded quarter credits of their schooling (U.S.), or roughly the equivalent of the last two years of graded study (undergraduate and/or graduate)
- If applicants have less than a 3.0 GPA for the last 2 years of graded full-time study, it is still possible to be admitted if applicants are an otherwise outstanding candidate for the program
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Essential Math Skills:
- Partial differentiation
- Multiple integration
- Functions of several variables
- Matrix operations
- Linear systems of equations
- Eigenvalues and Eigenvectors
Essential Computer Science Skills:
- Basic complexity
- Object-oriented vs. procedural programming
- Data structures (lists, queues, stacks, trees)
- Algorithms (search and tree traversal)

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- minimum 106 total score and 25 in each area test
-
Register for TOEFL iBT® Test Today and get Rs 500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL
- No specific cutoff mentioned
- Marks - 7.5/9
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Marks - 125/160
- NA
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- If students have a 3-year undergraduate degree, please contact the central UW Graduate School to clarify if their education will meet the requirement
- Not mentioned
Master of Science in Data Science at Washington University Application Process
- Documentation of CS and Math skill proficiencies
- Copy of passport
- Proof of English proficiency (for non-native English speakers)
- Applicants must upload unofficial transcripts/marksheets from every institution where they earned a degree or completed prerequisite courses
Master of Science in Data Science at Washington University Rankings
Rank | Rank Publisher |
---|---|
#10 | |
#18 | |
#28 |
Master of Science in Data Science at Washington University Placements
Particulars | Statistics (2022) |
---|---|
Internship Available | Yes |
University of WashingtonStudents Ratings & Reviews
- Academically oriented
- Friendly
- Sporty
- Multi-dimensional
- 40% students never faced discrimination in this university
Master of Science in Data Science at Washington University Highlights
- Master of Science in Data Science is offered by Department of Computer Science and Engineering under University of Washington, USA.
- The MSDS degree is a professional master’s program designed for students who want to begin or advance their careers in data science
- In this program, Students will learn expertise in statistical modeling, data management, machine learning, data visualization, software engineering, research design, data ethics, and user experience to meet the growing needs of industry, not-for-profits, government agencies, and other organizations.
Master of Science in Data Science at Washington University Scholarships
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