Master of Arts in Statistics

Graduate

The Master of Arts in Statistics prepares students to perform in an information-rich, data-driven workforce that requires both general and specialized skills in statistical analysis. The 36-unit program, designed primarily for part-time study, covers essential elements of statistical studies with courses in probability, statistical computation and model building, experimental design, survival analysis, Bayesian statistics, and stochastic processes. Additionally, these courses, along with a required practicum, provide a foundation for further doctoral-level study in mathematics and statistics, or in other academic disciplines such as anthropology, biology, economics, political science, and psychology.

In addition to providing a solid theoretical foundation, the program also offers applied value, providing tools, strategies, and technical skills in areas such as predictive analytics and big data to help professionals in many fields analyze large volumes of data, make reliable and productive business decisions, and use technology efficiently. The program offers flexibility and a wide range of elective and applied courses that emphasize statistical analysis in mathematics, computer science, engineering, clinical investigation, biostatistics, economics, and business. Students may choose from a broad-based pool of elective courses across disciplines, or they may organize elective course work and design the required practicum in one of the optional tracks that correspond to strong industry demand for statisticians: Biology and Health; Business and Finance; and Engineering and Materials.

required course work

Required Courses: 15 units

  • Probability/ U20 594 Mathematical Statistics (U20 593) or Theory of Statistics I (U20 5061)/Theory of Statistics II (U20 5062). Must take one of the two course sequences.
  • Linear Algebra (U20 529) or Advanced Linear Statistical Models (U20 5392)
  • Linear Statistical Models (U20 539)
  • Statistical Computation (U20 575)

In the case that an equivalent course has been taken and proficiency in the course material has been demonstrated, other 500-level electives may be substituted in consultation with the advisor.

Required Thesis Practicum: 3 units

  • Thesis Practicum (U20 5xx)
Elective Courses: 18 Units

Additional 500-level electives, selected from the list below, will be chosen by the student in consultation with University College, to make up the 36 units. Other 500-level electives may be selected in consultation with an advisor. Students may choose elective courses broadly, or follow one of the suggested tracks below.

  • Experimental Design (U20 520)
  • Survival Analysis (U20 534)
  • Numerical Applied Mathematics (U20 549)
  • Bayesian Statistics (U20 559)
  • Stochastic Processes (U20 585)
  • Advanced Probability I (U20 551)
  • Advanced Probability II (U20 552)
  • Multilevel Models in Quantitative Research (U20 584)
  • Measurement and Latent Trait Models (U20 538)
  • Advanced Theoretical Econometrics (U20 5145)
  • Applied Econometrics (U20 5161)

Biology and Health Optional Track

  • Experimental Design (U20 520)
  • Biostatistics (U20 522)
  • Survival Analysis (U20 534)
  • Other courses with authorization.

Business and Finance Optional Track

  • Numerical Applied Mathematics (U20 549)
  • Multilevel Modeling (U20 525)
  • Bayesian Statistics (U20 559)
  • Other courses with authorization.

Engineering and Materials Optional Track

  • Numerical Applied Mathematics (U20 549)
  • Bayesian Statistics (U20 559)
  • Stochastic Processes (U20 595)
  • Other courses with authorization.

admissions requirements

Transferring Credit

A maximum of six units of related, comparable graduate-level course work may be transferred from another university or from a related graduate program at Washington University with the approval of the program director. These must be graduate-level units not used to fulfill undergraduate degree requirements. Transfer credit may be granted only for authorized courses for which the student received a grade of B or higher. 

A Minimum Cumulative GPA of 3.0

Applicants should have a baccalaureate degree from an accredited institution and a minimum overall grade point average of 3.0.

Calculus & Statistics Requirement

Degree candidates should have completed the calculus sequence (differential, integral and multivariable calculus) as well as an intermediate statistics course such as Probability & Statistics I (U20 305) prior to beginning graduate study.

application requirements

Completed application form

The online application is available online on our Apply page. Applications are ready for review when all fields on the application form are completed, required documents have been received, and the application fee is paid.

Official transcripts from all previous college work

Contact the registrar at each previous college or university attended to request an official transcript. Official transcripts must be sent directly from the registrar to University College.

Personal statement

Tell us about yourself in a brief essay (about 250 words). Why are you applying to University College? What are your goals, both academic and professional? What do we need to know when considering your application?

TOEFL scores (if applicable)

If you are not a U.S. citizen, official TOEFL scores must be forwarded to University College.

Graduates of a U.S. university or college or Canada, Australia, and U.K. residents are exempt if they have earned a bachelor’s degree or a graduate degree from such college or university.

$35 application fee

You may pay by credit card online, or via check or money order payable to Washington University in St. Louis. You may also pay the fee by cash at the University College office. 

This fee is waived for all WashU staff.

Three Letters of Recommendation

Letters of recommendation should be completed by teachers or professional associates. They can be submitted as part of your online application or mailed to University College.

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Still have questions?

Program Coordinator: Lisa Kuehne | (314) 935-4226 | lmkuehne@wustl.edu

Director of Advising and Student Services: Elizabeth Fogt | (314) 935-6778 | efogt@wustl.edu

Administrative Assistant for Academic Programs: Holly Schroeder | (314) 935-6759 | cschroed@wustl.edu