MA Statistics at Columbia University

Programme overview

The free-standing MA in Statistics enhances knowledge of statistical theory and applications for students entering or working in statistics-using roles and for some preparing for doctoral study. Domestic students may study full-time or part-time; international students study full-time. Required courses are scheduled in the early evening where possible.

Faculty: Graduate School of Arts and Sciences | Department: Department of Statistics | Duration: Most full-time students finish in three semesters; part-time option for domestic students | Intake: Fall | Study mode: full-time / part-time | Location: New York, NY, United States

What you will study

Four required courses (probability theory, mathematical statistics and standard statistical methods) and six or more electives, with practical use of statistical software.

Career pathways

Pharmaceutical research, finance, insurance, market research, public health, government, and further doctoral study.

Official programme page

Application information

Entry requirements

Preparation should include linear algebra (to the level of MATH UN2020) and advanced calculus (to MATH UN1201); programming familiarity is helpful. Applicants submit transcripts, statement of academic purpose, personal statement, resume, a list of undergraduate coursework with grades in calculus, linear algebra, probability and statistics and advanced mathematics, and three letters of recommendation (at least two academic). GRE General not required; no writing sample. Applicants whose undergraduate degree is from an institution in a country whose official language is not English must submit TOEFL, IELTS or Duolingo English Test scores. Deadlines: early 10 January 2027, final 6 May 2027.

Intake: Fall

Duration: Most full-time students finish in three semesters; part-time option for domestic students

Apply through the official page: https://www.gsas.columbia.edu/content/prospective-students

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