University of San Francisco

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.

One-to-two page statement (prompt in essay_prompts). The program asks applicants to refrain from using AI-generated content in application materials.

Upload a copy of your transcript from each university and college attended, with the institution's name and your name on it, including any schools and study abroad programs. If still enrolled, submit a transcript showing in-progress courses. If admitted, an official transcript with proof of graduation is required.

The school’s official pages say this differently. Here is what each one says — check with the school before you rely on it.

The GRE general test is optional. USF school code for GRE is 4850. The CAS Tests & Scores table shows 'No' in the GRE/GMAT column for Data Science and Artificial Intelligence; if your program does not require the GRE, you may still submit the score report. GRE-at-home is accepted.

Duolingo English Test (international applicants): For international applicants, an English Language exam score is required. Accepted tests: TOEFL, IELTS, PTE Academic and Duolingo English Test. Applicants request that the testing agency send an official score to USF. Minimum for Data Science and Artificial Intelligence: Duolingo 115.

IELTS (international applicants): For international applicants, an English Language exam score is required. Accepted tests: TOEFL, IELTS, PTE Academic and Duolingo English Test. Applicants request that the testing agency send an official score to USF. Minimum for Data Science and Artificial Intelligence: IELTS 6.5. IELTS does not require a school code.

PTE Academic (international applicants): For international applicants, an English Language exam score is required. Accepted tests: TOEFL, IELTS, PTE Academic and Duolingo English Test. Applicants request that the testing agency send an official score to USF. Minimum for Data Science and Artificial Intelligence: PTE 61. PTE does not require a school code.

TOEFL (international applicants): For international applicants, an English Language exam score is required. Accepted tests: TOEFL, IELTS, PTE Academic and Duolingo English Test. Applicants request that the testing agency send an official score to USF. Minimum for Data Science and Artificial Intelligence: TOEFL iBT 90, or 4.5 on the TOEFL iBT 1-6 scale. TOEFL iBT section scores for Speaking, Listening, Reading, and Writing must be 17 or higher, unless an individual graduate program grants an exception. USF TOEFL school code 4850.

Waiver / exemption: Exemption (CAS Tests & Scores page): granted if you complete a Bachelor's or Master's degree, or one year or more of studies in a degree program, in English in the U.S. or one of the listed exempted countries; the same page also grants an exemption if you complete a degree in a non-exempt country where the medium of instruction in your program is in English. But the MS-DSAI FAQ says: 'Our program does not waive the English language exam requirement for applicants with degrees completed in countries other than those included on the exempted list.' Program waivers: 'Each graduate program determines exceptions for a program waiver of the English Language Exam requirement. Please contact your individual program for details.'

The statement of purpose is a one-to-two page statement that briefly describes your educational and work experience as it relates to the MS in Data Science and Artificial Intelligence program. The majority of the essay should focus on your career goals, and why the USF MS in Data Science and Artificial Intelligence program is a good fit with your 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, and any other topics in your background and experience that you would like to address.