Admission

The nine-course accelerated program data science program is only open to graduates of MIT's MicroMaster's in Statistics and Data Science program. A twelve-course version of the MS in Data Science program is also offered to qualified applicants who have not completed the MIT program.

For specific questions about the admission process, contact an adviser at 312-503-2579.
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Application Checklist

Statement of Purpose

Applicants must submit a 300-word statement of purpose explaining how the degree program will help them meet their academic and professional goals. Applicants who do not have a demonstrated quantitative methods background should explain how other academic and nonacademic experiences have equipped them to undertake graduate study in this program.

Supplemental Materials

Supplemental materials, with the exception of transcripts, must be uploaded to the online application. Official transcripts may be sent to our Admissions office at spsadmissions@northwestern.edu or mailed to our Chicago office. Please be sure to include the name of your intended program when addressing transcripts. Applicants will be notified once all materials have been received and the application is complete.

  • Official MIT Micromasters in Statistics student records, including cumulative exam grade
  • One sealed copy of official transcripts from ALL previously attended colleges and universities. Official transcripts must arrive in our office in the original sealed envelope issued by the institution. Northwestern University School of Professional Studies accepts electronic transcripts from U.S. institutions via secure electronic transcript providers. Consult with your institution to see if they are part of a secure e-delivery network. All electronic transcripts should be sent to spsadmissions@northwestern.edu. Please note transcripts are not accepted by fax or email. If you are currently enrolled, please submit an official transcript showing courses in-progress. Applicants with international transcripts must request an official course-by-course evaluation of transcripts from a NACES member such as WES or ECE. A course-by-course evaluation will translate courses, degrees and grades to U.S. equivalency.
  • Two letters of recommendation focusing on academic and professional achievement and ability
  • Statement of purpose
  • Current résumé or curriculum vitae

Transcript mailing address:
Accelerated MS in Data Science Admissions
Northwestern University School of Professional Studies
Wieboldt Hall, Sixth floor
339 E. Chicago Ave.
Chicago, Illinois 60611-3008

Application Tips

Your application will be evaluated by the Accelerated MS in Data Science Admissions Committee. The following considerations will guide the Committee in their review:

  • The MSDS admissions committee, while providing a holistic review of each application, will look for cumulative exam scores well above 80% from MIT Micromasters candidates.
  • The statement of purpose demonstrates if a student's academic and professional goals are appropriate for this degree. This statement also helps the committee to determine if the prospective student possesses the necessary writing skills and intellectual maturity for succeeding in the program.
  • The letters of recommendation serve to underscore the applicant's commitment to graduate education and ability to succeed in graduate level work and the field after completing the degree.
  • The résumé is used to provide evidence of an applicant’s continuing commitment to and/or understanding of the data science field. While we prefer candidates to possess three to five years of work and/or research experience in a related area, recent college graduates and career changers are also encouraged to apply. These applicants must demonstrate to the committee their commitment to the program by detailing previous internships, academic, or volunteer work.

System Requirements

To ensure proper access to all online course materials, students in SPS online master's degree courses should verify that their computer meets the recommended system requirements.

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