Apply Now for 2023

The Summer 2023 application is now open. The priority application date is December 5, 2022.

Application Deadline

Applicants who are motivated to join our next cohort and who are interested in scholarship awards should apply by our priority deadline of December 5. The final application deadline for summer 2023 admission is March 1. Applications received after that date will be reviewed on a space-available basis.

Notification of Admission Decision

Applicants are typically contacted with an admission decision six to eight weeks after the final application date, though many applicants receive a decision before that time. All applicants should expect a final admission decision by May 15. While applications are reviewed on a rolling basis, early submission does not guarantee an early decision. Applications completed after March 1 are reviewed on a space-available basis.


The application process is entirely online. Please complete and/or upload all of the items listed below to your application account. There is no need to mail items to our office.

Bachelor’s Degree

Applicants who hold a bachelor's degree in any field and have fulfilled the MS in Data Science prerequisites are considered for admission. Applicants with academic or professional backgrounds in math, computer science, engineering, finance, economics or equivalent skills are encouraged to apply

Prerequisite Requirements

Courses should be completed for a grade on a transcript at an accredited institution. Unofficial transcript copy from an accredited institution needs to show class titles with grades (marks). Certificate coursework does not meet our requirements but can serve as a supplement to courses taken for college credit. Professional or personal experience may substitute for coursework in some cases, though formal coursework is preferred.

Required courses:

  • Inferential Statistics
  • Linear Algebra
  • Computer Programming: Java, Python or C++
    • Ability to write structure programs in a high-level language (for example: objects, methods, functions)
    • Ability to read/write data from files
    • Facility with the three basic control structures (block, conditional, iteration)
    • Understanding of variables and data types (int, float, strong, boolean)
    • Familiarity with basic data structures (list, dictionary, stack, queue)

In addition to the above requirements, we strongly recommend courses in calculus and data structures.

Test Requirements

The program does not require a GRE or GMAT test.

For international applicants, an English Language exam score (TOEFL, IELTS, Duolingo, or PTE) is required.

Transcript (Academic Record)

Upload a copy of your transcript from each university and college attended. Please ensure the institution’s name and your name is on the document you upload. Transcripts from any schools and study abroad programs must be submitted since Bachelor's Degree institutions typically do not list transfer and study abroad courses with grades. If still enrolled in your Bachelor's program, submit a copy of your transcript showing in-progress courses. If admitted, an official transcript with proof of graduation is required.

Statement of Purpose

The statement of purpose is a one-to-two page statement that describes your educational and work experience as it relates to the MS in Data Science program, and your career goals. You may also use this statement to explain any deficiencies in your academic record (e.g., failing or low grades in quantitative courses such as math, economics, computer science, or engineering; a low GPA in one semester, year, or degree program; lack of relevant coursework that is compensated by self-study or work experience, etc.), gaps in educational or employment history, reasons for low quantitative or verbal scores on the GRE or GMAT tests, and any other topics in your background and experience that you would like to address.

Resume or CV

Your current resume or CV lists and describes your educational history, work or job history, coursework related to this graduate program, and any experiences relevant to your pursuit of graduate studies.

Letters of Recommendation

A minimum of two recommendation letters are required for your application (four maximum). Follow the instructions in the online application to provide the contact information for your recommenders. We require that letters are signed (electronic signature is fine) and/or on official company or university letterhead in order to be considered. Please keep this in mind when contacting your references.

You may submit your application before your recommenders upload their letters.

Admission Interview

Applicants whose applications are selected by our admission committee for further review will be contacted for an admission interview. The interview will cover foundational topics in statistics, linear algebra and computer programming and is conducted by an MSDS faculty member. Successful completion of an interview is required for admission.

International Applicants

There are additional items and instructions for international applicants.