Admission

We welcome students with various academic and professional backgrounds to apply for admission to our program.

Applying

To apply for the MSSP program at Boston University, you should submit an application to the Graduate School of Arts & Sciences. Application materials must be submitted directly to the Graduate School, not to our department. On the application, please be sure to indicate that (i) you are applying for admission to the Department of Mathematics and Statistics, and (ii) that you wish to specialize in statistical practice. The Graduate School will be offering application fee waivers to domestic applicants for the Fall 2019 admissions cycle. Please visit the Graduate School’s website for eligibility requirements.

Applications for Fall 2019 are currently available online. We will begin to review applications on a rolling basis after the application deadline in mid-February 2019, and decisions are typically completed by the end of March. Due to the high volume of applications we receive each year, we kindly request that applicants do not inquire about the status of their application before March 15th.

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Deadlines

Fall Semester Admission

  • Priority Admission Deadline: February 15, 2019
  • After February 15th, we will begin reviewing applications on a rolling basis. This means that we will continue accepting applications until the number of seats in our incoming class are filled. Because we only have a limited number of seats available for a large number of applicants, we encourage you to submit your application as early as possible!

Spring Semester Admission

  • Unfortunately, we do not currently accept applications for Spring semester admission.

Application Requirements

Recommendations

  • Three (3) letters of recommendation are required for all applicants to the MSSP program. Applicants with prior work experience are welcome to submit a recommendation from their current or former work/internship supervisor.

GRE

  • The GRE is a general test required for all applicants (no specific minimum score required). The Graduate School is not able to waive the GRE for applicants with advanced degrees or prior work experience, and scores received more than 5 years ago are not valid.
  • Please send GRE test scores to Boston University GRE Institution Code 3087.
  • No GRE subject test is required for application to the MSSP program.

TOEFL

  • Proof of English proficiency is required of all applicants by submitting official results of the Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS). This requirement is waived only if you have received, or expect to receive, an undergraduate or graduate degree from a college or university in any of the following countries prior to enrollment in the Graduate School of Arts & Sciences: the United States of America, Canada, the United Kingdom, Australia, New Zealand, or Ireland.
  • The minimum score for all sections of the TOEFL is 21. A minimum score of 7.0 is required for the IETLS. 

Financial Aid

We understand that financing a college education can be difficult, and we strive to help as many applicants as possible pursue their personal, professional, and academic goals here at Boston University. Therefore, we are happy to to offer merit-based tuition assistance to students in the MSSP program in the form of merit-based scholarships. These scholarships provide partial tuition to both domestic and international full-time students who demonstrate an exceptional academic history and a passion for the field of statistical practice. Scholarships are awarded at the time of admission and do not require a separate application. Because the amount of scholarship aid varies from year to year and is based on a variety of factors, we are not able to provide a specific dollar amount that may be awarded. 

Prerequisites

The MSSP program actively seeks students with diverse educational backgrounds and career goals. In order to ensure that all of our students are prepared to succeed, MSSP coursework generally requires a solid foundation in the following areas:

  • Calculus and core statistics (either through previous coursework or equivalent work experience)
  • Familiarity with computing (e.g., a one-semester programming course, experience in R, etc.)
  • Exposure to probability and linear algebra is beneficial

Still thinking about applying? Request information to learn more.

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Frequently Asked Questions