Admission Requirements

The Master of Science in Data Science program welcomes students from diverse educational backgrounds. The data science masters program assumes a background in statistics, integral calculus, and Python programming.

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  • Application: Completed Application for Graduate Admission.
  • Personal Statement: A 300-word essay on one of the following topics: the job you would like to have after graduating; OR a problem you would like to solve, or have already solved, using analytical skills
  • Official transcripts of all post-secondary education institutions attended in the last 90 quarter/60 semester credits of the bachelor’s degree, including any transfer credits earned during this time, and any post-baccalaureate coursework. Unofficial transcripts can be used for the admissions process if official transcripts are unavailable.
  • Academic Background: Successful applicants can come from all backgrounds, but have completed the following undergraduate courses:
    • Elementary Probability and Statistics (such as MATH 2310)
    • Programming course in Python (such as CPSC 1220)
    • Integral Calculus (such as MATH 1335)
  • Resume or CV
  • The GRE is not required for most applicants. Students subject to the Three-Year Degree Policy or who have earned degrees from institutions issuing non-graded transcripts must submit official results from the GRE (Code 4695) or GMAT (Code 5613) to be considered.
  • Upon admission, this program requires a non-refundable $250 deposit to confirm your space. The deposit will be applied toward your first quarter tuition bill.
  • International StudentsInternational students may be required to submit additional materials in order to have their applications evaluated. If English is not the applicant’s native language, a demonstration of English proficiency meeting the university’s entrance requirements must be submitted. Please visit the International Admissions page for complete information.

 

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