students in class overlooking laptops
Data Science, MS

Financial Aid

The Master of Science in Data Science program awards a limited number of merit-based partial scholarships to incoming students. These scholarships do not require a separate application. All students admitted to the program are considered for these scholarships during the admission decision process. Applications completed by the early application date are given priority consideration for a program scholarship.

Program Scholarships

All applicants are automatically considered for program scholarships during the application review process, based on the academic and professional background shown in their application materials. 

Eligible students will also be considered for the following scholarships aimed at broadening the range of perspectives in the field of data science, and providing opportunities to groups that have historically been underrepresented in the discipline. 

Women in Data Science Scholarship

Women in Data Science Scholarship is awarded to a female-identified applicant and is aimed at addressing the underrepresentation of women in the field of data science.

Diversifying Data Science Scholarship

Diversifying Data Science Scholarship is awarded to a student who comes from a historically underrepresented racial and ethnic minority group or is a first-generation college student. This scholarship is primarily intended for American citizens and permanent residents.

Veterans of the Armed Forces Scholarship

Veterans of the Armed Forces Scholarship is awarded to veterans who served in the US military and would add an invaluable perspective to the classroom and to the data science field. This scholarship is issued by the MS in Data Science program and is not connected to the GI Bill. Interested students must complete the questions about their service status on the program application. 

The University of San Francisco and the MS in Data Science program are also eligible for the Yellow Ribbon benefits. For more information about the Veterans benefits, please contact the USF Veterans Enrollment Center.

Additional Funding Opportunities

College of Arts & Sciences Dean's Scholarship

The College of Arts & Sciences Dean's Scholarship provides $15,000 for their tuition to two awardees. To be considered for the dean’s scholarship, students must apply by the program’s priority deadline. Additional benefits include the Dean's Scholar kickoff and reception, connection with other Dean's Scholars and with leaders across the college, and the chance to serve as program representatives to USF donors and Development initiatives.

Craig Newmark Scholarship for Women in Tech

Craig Newmark Scholarship for Women in Tech supports the pursuit of careers in technology for female-identified students. Additional funding may be available for conference attendance.


MSDS students enrolled in the program and accepted for internships related to the areas of medicine and AI or energy and sustainability are eligible to apply for the following scholarships.

The Schmidt Family Foundation Fellowship

For students pursuing their internship and career interests in climate change and energy, environmental justice and human rights, or ecological agriculture. Awards are up to $12,500.

The Wicklow AI Medical Research Initiative (WAMRI) Fellowship

For students interested in pursuing their internship in projects that involve conducting medical research across oncology, cardiology, microscopy, neurology, medical physics, and pediatrics by developing novel ML/AI models to advance the field. Awards are $8,000 each.


All students in the Master of Science in Data Science program participate in our nine-month internship. These projects may be paid or unpaid, depending on the placement, firm, and/or organization at which a student completes their internship project.

Funding for Undocumented Students

USF Magis Scholarship for undocumented/DACA graduate students. For more information, please contact Lori Prince,

Outside Scholarships

Non-USF scholarship funding for women, US and international students.