Master of Science in Applied Data Science · Starts Fall 2027 · Department of Statistics & Data Science, Dietrich College of Humanities and Social Sciences
Carnegie Mellon University
MS in Applied Data Science
Next deadline
Jan 15, 2027100 days
Final · 11:59 PM ET
- Application fee
- 2027 fee not confirmed yet
- Recommendations
- 3 letters
- Essays
- Not published yet
Source:Master of Science in Applied Data Science - Statistics & Data Science - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University (how-to-apply.html and faq.html redirect here) ↗· checked Oct 3, 2026
We collect this from the school's official pages and check it regularly, but schools change things. Confirm with the school before you apply. Some 2027 details aren’t published yet; they’re added as the school posts them.
Deadlines
Jan 15, 2027
11:59 PM ET
100 daysFinal
How the rounds work
The application cycle runs from Monday, October 5, 2026, until Friday, January 15, 2027 at 11:59 pm EST. 'We will accept applications thereafter on a rolling basis after the regular deadline as long as space remains in the incoming class but recommend applications are submitted prior to the cycle deadline to ensure an application review.' FAQ: only additional fully completed applications submitted after January 15 are reviewed 'if there is space available in the program.'
International applicants
If your native language (language spoken from birth) is not English, a current English proficiency score report is required (TOEFL or IELTS strongly encouraged; Duolingo accepted if you are unable to test for TOEFL or IELTS). 'The English proficiency requirement cannot be waived for any reason'; previous study at a U.S. or a non-U.S. English-language institution is not grounds for a waiver. Expired scores are not accepted. Private loan options are available to non-U.S. citizens (generally may require a U.S. cosigner). The program is aimed at students who 'desire a career in a fast-paced, high-growth industry in the United States immediately following graduation.'
Source:Master of Science in Applied Data Science - Statistics & Data Science - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University (how-to-apply.html and faq.html redirect here) ↗· checked Oct 4, 2026
Requirements
A resumeRequired
A resume.
Applicant background, goals and post-graduation objectivesRequired
Applicant background, goals and post-graduation objectives (listed among the materials applicants must provide). No prompt text or length on the public pages.
Undergraduate and graduate transcriptsRequired
Undergraduate and graduate transcripts of all institutions where you have attended and/or graduated. All materials must be uploaded to the online system before the application deadline; mailed applications or supplemental materials are not accepted.
Three recommendation letters3 letters
Two of which should be faculty recommendations.
Three recommendation letters uploaded by recommenders (two of which should be faculty recommendations).
GRE General Test (if applicable)Being checkedOptional
Listed as 'If applicable, GRE General Test scores.' Our GRE codes are 2074 (Institution) and 0705 (Department). The page does not say who it applies to. FAQ: 'If you need to retake your TOEFL, IELTS and/or GRE for this application, we highly recommend you take the exam no later than November 28, 2026.'
Duolingo English Test, IELTS or TOEFLIf your degree wasn't taught in EnglishRequired
Duolingo English Test (if unable to test for TOEFL or IELTS): Required if your native language (language spoken from birth) is not English: 'we require a current English proficiency score report.' The application materials list 'If applicable, TOEFL, IELTS test, or Duolingo scores.' 'For all applicants whose native language is not English, we strongly encourage TOEFL or IELTS scores.' 'We do not accept expired scores.' 'All scores must be uploaded and received before the deadline in order to assure an equitable review of your application.' 'If you are not a native English speaker, and despite your best efforts are unable to test for TOEFL or IELTS, we will accept the Duolingo English proficiency test.' Minimum Scores: 'DuoLingo - 135'. FAQ: 'A score of at least 135 overall is desirable.' Subscores given consideration: Literacy 135, Conversation 130, Comprehension 145, Production 113.
IELTS: Required if your native language (language spoken from birth) is not English: 'we require a current English proficiency score report.' The application materials list 'If applicable, TOEFL, IELTS test, or Duolingo scores.' 'For all applicants whose native language is not English, we strongly encourage TOEFL or IELTS scores.' 'We do not accept expired scores.' 'All scores must be uploaded and received before the deadline in order to assure an equitable review of your application.' Minimum Scores: 'IELTS speaking score - 9' (no overall IELTS minimum is listed).
TOEFL: Required if your native language (language spoken from birth) is not English: 'we require a current English proficiency score report.' The application materials list 'If applicable, TOEFL, IELTS test, or Duolingo scores.' 'For all applicants whose native language is not English, we strongly encourage TOEFL or IELTS scores.' 'We do not accept expired scores.' 'All scores must be uploaded and received before the deadline in order to assure an equitable review of your application.' TOEFL codes: 2074 (Institution) and 59 (Department). Minimum Scores: 'TOEFL total score - 5'; 'TOEFL Speaking Score - 5.5'.
Waiver / exemption: 'The English proficiency requirement cannot be waived for any reason.' 'Previous studies at a U.S. high school, college, or university are NOT grounds for a language-test waiver.' 'Additionally, previous studies at a non-U.S. English language instruction high school, college, or university are also NOT grounds for a language-test waiver.'
PTE Academic not listedIf your degree wasn't taught in EnglishNot accepted
Not listed: the accepted English tests are TOEFL, IELTS, or Duolingo ('If applicable, TOEFL, IELTS test, or Duolingo scores'; section 'Test Scores: TOEFL, IELTS, and Duolingo').
Who can apply
Familiarity with matrix algebra and/or linear algebraOptional
Highly encouraged at the time of applying: familiarity with/exposure to matrix algebra and/or linear algebra. Applicants should be familiar with vectors and matrices, matrix multiplication, and inverses.
Two semesters of calculus-based probability and mathematical statisticsOptional
Highly encouraged at the time of applying: two semesters of calculus-based probability and mathematical statistics (CMU prerequisite classes are 36-225 and 36-226). Topics should include: random variables, distribution functions, joint and conditional distributions, functions of random variables & their probability distributions; maximum likelihood estimation, properties of estimators, hypothesis testing, interval estimation.
One course in linear regression analysisOptional
Highly encouraged at the time of applying: one course in linear regression analysis (a CMU prerequisite course is 36-401). Topics should include: exploratory data analysis, linear regression models, validation and interpretation of models. A good Econometrics course is an acceptable substitute.
Source:Master of Science in Applied Data Science - Statistics & Data Science - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University (how-to-apply.html and faq.html redirect here) ↗· checked Oct 3, 2026
Essays
2027 essay questions not published yet. Some schools show them only inside the application.
Admissions events
Spot something wrong or missing?
Tell us about a mistake on this page, a fee waiver, or an admissions event. We review every tip against the official pages before anything here changes. Until then, this page stays as it is.
Sign in to send a tip.