University Of San Francisco - [Usfca], California, San Francisco - Courses & Fees

San Francisco, California

University Private (Not for Profit) College

The Master of Science in Data Science (MSDS) is a full-time, one-year program housed at USF’s downtown San Francisco campus.
The 35-unit program begins in early July every year and features a modern, open-source-focused curriculum for students who seek the technical expertise required to become data scientists and analysts. The business skills to apply this knowledge effectively and strategically.
The program begins with our boot camp, an intensive review of the foundational knowledge and skills required for success in the MSDS program.
Students complete accelerated review courses in probability & statistics and computation for analytics and must pass a linear algebra competency exam to advance in the program.

Important Dates

Event	End Date
Priority Application Deadline For Fall Intake	Feb 1, 2023
Application Deadline For Spring 2024 Intake	Dec 15, 2023

Academic Eligibility:

Students who hold a bachelor's degree in any field are considered for admission.
Students with academic or professional backgrounds in math, computer science, engineering, finance, economics, or equivalent skills are encouraged to apply.
Students are required to maintain at least a 3.0 on a 4.0 scale overall GPA.

Language Requirments:

Students must be qualified in IELTS or TOEFL and PTE to get admission to this program.

92 / 120

Avg. Score in

6.5 / 9

Avg. Score in

62 / 90

Avg. Score in

319 / 340

Avg. Score in

Transcripts and academic records in the original language of your institution.
Official degree conferral certificates indicating degree completion or expected date of completion.
Resume/CV
A minimum of two recommendation letters are required for their application
Statement of Purpose

Students graduating from the MSDS program are embedded in the world's largest concentration of technology companies.
Equipped with the techniques and skills necessary for data-driven decision making, our graduates are prepared for careers in a wide variety of fields with rapidly growing demand for knowledgeable and well-educated data scientists, engineers, and analysts.