Applicants are eligible to apply to the program if they have earned a bachelor's degree or its equivalentfrom a regionally accredited college or university.
Important Dates
Applicants for fall admission to the MS-DS must submit all materials by the deadline below. Incomplete applications will not be considered. The program does not offer spring admissions.
- Applications Open:Mid-July
- Prospective Student Events:See Events for details
- Applications Closes:January 15 at 10:00 p.m. *
- Decisions Released:Mid-April
- Priority Deadline: December 1st
- Priority Decisions Release: February
Admissions Pathways
There are two pathways to be admitted and complete degree requirements.
Direct to Data Science Pathway
Students with the mathematics and programming experience outlined below can complete the degree with 30 total credits.
Bridge to Data Science Pathway
Students without the specific math and programming experience below are eligible for admission into this pathway and can complete the degree with 30–34 total credits as determined by the graduate committee upon a review of the student’s prior experience.
Potential Additional Curriculum:The graduate committee may require students in this pathway to complete one or more of the following courses (up to 7 credits).Courses should be taken in the first year and are subject to Graduate School grade and cumulative GPA standards. Up to 3 credit hours of bridge courses which meet applicable standards can count toward the degree in the electives category.
We will have a Math for Data Science course available on Coursera in Spring 2022 for any students who need additional math background or review topics before the semester starts
What We Look For
Minimum Qualifications
We welcome students from all fields! All applicants must meet the minimum qualifications below. We consider academic and professional background, letters of recommendation, and essays in our holistic application review.
Strong applicants will also have...
Strong GPA
Undergraduate GPA of 3.2 or higher on 4.0 scale (3.0=B)
Recommended Prior Knowledge (or Equivalent Experience)
Submission Materials
To apply, you must submit all of the following by the January 15 deadline. Late materials will not be considered.
Graduate Admission Application
Complete the 鶹Ƶ Graduate Admission Application. See Prepare to Apply for general guidance. For answers to common questions, see the Graduate Application FAQs.
Application Fee
Pay the nonrefundable application fee:
Data Science does not offer departmental application fee waivers at this time.
Transcripts
Upload unofficial undergraduate and graduate transcripts in the application portal. International students with questions about their transcript requirements should contact International Admissions for guidance.
Note that admitted students will be required to submit official copies of all previous transcripts after admission decisions are released.
Personal Statement
Upload a document that briefly describes your background, as well as your academic and professional goals. Outline your previous experience with data science, what you hope to learn from this program, your career goals after graduation, etc. You may also use this space to explain any inconsistencies in your previous academic performance. 1 page maximum (approx. 500 words).
Letters of Recommendation
Students must submit 2–3 letters of recommendation from academic, personal and/or professional references. The optional third letter is especially important for students who have lower GPA or would like to strengthen their application for any reason.
CV/Resume
Upload your current curriculum vitae (CV) or resume in the application portal. See Career Services' Resume and CV Guide for tips.
GRE Scores Not Required
GRE scores are not reviewed. Our application review is “test blind.” Applicants do not need to submit GRE scores as part of their application packet. In fact, we actively discourage it, and our MS-DS admissions team is unable to see GRE data when reviewing submissions. This is part of a larger effort to remove bias in our application review and increase access to students from all backgrounds. Studies have shown that GRE scores fail to predict success in graduate programs, and that high test scores tend to correlate with a student’s socioeconomic status, race, and gender.
Proof of English Proficiency
If your native language is not English, you must also provide proof of English proficiency by submitting documents verifying one of the following:
Questions about the English proficiency requirement? See the English Proficiency page and contact International Admissions with related questions.
Looking for something different?
We also offer a fully online Master of Science in Data Science (MS-DS) on Coursera. Admissions for the MS-DS on Coursera are performance-based, with no application or transcripts required.