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.
- International Students: International 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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