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    Cornell University

    Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics

    Last verified against the official program page on .

    Ithaca, USMPSIn-person1 year
    STEM-OPT
    $71,266.00
    Tuition
    over 12mo
    80
    Cohort
    students
    30
    Credits
    $105.00
    App fee

    Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University is a 30-credit, 1-year, in-person MPS program based in Ithaca, US. Tuition is $71,266 and the program is STEM-OPT eligible for international students.

    About the program

    The program provides training in statistical analysis and data science through core courses, elective coursework, and an in-depth statistical analysis project. It offers two options: applied statistics focusing on statistical techniques, and data science emphasizing computer science skills like scripting, databases, and high-performance computing.

    Focus: coursework

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    GPA thresholds, GRE/TOEFL/IELTS minimums, essay counts, recommendation letters, prerequisites, admissions contacts, and country-specific requirements like APS certification, portfolio submissions, or GATE scores.

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    Deadlines

    Spring 2027
    Oct 1, 2026
    Fall 2027
    Feb 20, 2027

    Standardized tests

    GRE
    required
    Min Official GRE scores are required for admission to the MPS program; no cut-offs for GRE scores
    TOEFL
    required
    Min Listening 15, Writing 20, Reading 20, Speaking 22
    IELTS
    required
    Min Cornell Graduate School requires an overall band score of a 7.0 or higher

    After the program

    Post-study work rights

    12 months OPT (US), 24 months STEM OPT (US)

    $101,000.00
    Avg starting salary
    $32,708.00
    Annual living cost

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    Self-reported profiles of past applicants to this program.

    Prerequisites

    Specific coursework this program expects you to have completed: calculus, linear algebra, programming, statistics, and subject-specific prerequisites where applicable.

    Recommendations

    Exact count of letters required, whether academic vs professional references are preferred, and any program-specific guidance on who to ask.

    Essays

    Number of essays required (statement of purpose, personal statement, diversity statement), prompts where the program publishes them, and whether supplemental essays are optional or mandatory.

    Contact

    Direct email and phone for the admissions office handling this program, plus a link to the program-specific inquiry page where available.

    Frequently asked questions

    How much does Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University cost?
    The total estimated tuition for Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University is $71,266 across 30 required credits.
    Is Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University online or in-person?
    Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University is offered in-person.
    How long does Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University take to complete?
    Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University is structured around 1 year and 30 credits.
    Is Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University STEM-OPT eligible?
    Yes - Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University is STEM-OPT designated, allowing international graduates to extend their post-completion OPT for up to 36 months total.
    How large is the Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University cohort?
    Master of Professional Studies (M.P.S.) in Data Science and Applied Statistics at Cornell University typically enrolls around 80 students per cohort.