Program Description

The MS program in Statistics provides advanced preparation in fundamental statistical theory and methods through a combination of traditional courses and electives in addition to modern topics in computation and data science. The program prepares students for positions in the fields of education or industry, or for future graduate study leading to a PhD. Students graduating with an MS in Statistics are expected to:

  • Demonstrate an understanding of Probability Theory, Mathematical Statistics, and
    Stochastic Processes.
  • Demonstrate the ability to apply linear and generalized linear models to data and
    interpret the results.
  • Demonstrate knowledge over a range of topics selected from probability theory,
    statistical methods, or computation.

Requirements for the MS Degree (Statistics Track)

Coursework
Ordinarily, eight semester courses (32 credits) in our department are required for the MS degree, including five core courses and three electives. At most, two courses may be transferred from another institution, and these courses should correspond to those offered at Boston University.

Only courses at the 500-level or above count toward the MS degree (typically excluding those in the 600-699 range, which serve a different function). Courses numbered 500-599 are aimed at both advanced undergraduate and beginning graduate students, while courses numbered above 700 are designed primarily for graduate students.

Core courses

  • CAS MA575 – Linear Models
  • CAS MA576 – Generalized Linear Models
  • CAS MA581 – Probability
  • CAS MA582 – Mathematical Statistics
  • CAS MA583 – Introduction Stochastic Processes

Electives

  • The remaining three courses should constitute a coherent program relevant to the objectives of the student. Ordinarily, all courses are in probability and statistics or mathematics.
Core Competency Requirement
Students in the MS in Statistics program must demonstrate competency in probability, statistical theory, and applied statistics. Prior to the 2025/2026 academic year, they are required to do so by passing the MA Comprehensive Exams. For students who start the program in or after the fall term of 2026, the core competency requirement is satisfied by taking and earning passing grades in all master’s core courses.

Admission

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Prerequisites
The program does not have a set of official prerequisites, but the admission committee generally prefers that applicants have a strong background in calculus, linear algebra, probability, and, while not necessary but welcomed, courses in statistics such as mathematical statistical and linear models.

Prospective applicants are welcome to submit applications to both the MS and MSSP programs simultaneously, however, separate applications need to be submitted to both programs.

Financial Aid

The Graduate School of Arts & Sciences offers merit-based scholarships to competitive incoming master’s students. Please note, no separate application is required. If you are selected for an award, you will be notified at the time of your admission.

Resources

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You can also reach us directly at mathdept@math.bu.edu.