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The Master of Science in Data Science (MSDS) at the University of San Francisco (USF) is an intensive, full-time, STEM-designated graduate program that blends computational, statistical, and domain knowledge with a strong focus on real-world applications and ethics. Located in the heart of San Francisco’s tech industry, the program equips students with the skills and experience needed to thrive in data-driven environments across industries.
Designed with input from industry professionals, the curriculum combines technical rigor with an emphasis on communication, business acumen, and social responsibility, preparing students to be not just data scientists, but effective data leaders.
Program Format & Duration
Full-time only, cohort-based model
Duration: 12 months (Summer start)
33 units total across three consecutive terms
STEM-designated (international students eligible for 3 years of OPT)
No GRE required
Core Curriculum Components
The USF MSDS program features a carefully sequenced curriculum designed to deliver depth and breadth in data science foundations while supporting teamwork and practical application.
Foundational Courses
Statistical Modeling & Inference
Machine Learning
Data Structures and Algorithms
Data Visualization and Communication
Linear Algebra for Data Science
Natural Language Processing
Big Data & Distributed Systems
Deep Learning
Professional Skills & Ethics
Communication for Data Professionals
Ethics and Responsible Data Science
Product Thinking and Business Strategy
Practicum (12-month Industry Project)
Each student completes a year-long practicum with a partnering company or organization, applying their classroom knowledge to solve real-world data problems.
USF's MSDS is built around experiential learning, emphasizing hands-on practice, client collaboration, and immersion in real-world workflows.
Industry Practicum (All-Year)
Students work in teams on real data problems provided by partner organizations throughout the program
Practicum partners have included:
Airbnb
Capital One
Eventbrite
Genentech
Microsoft
The San Francisco Department of Public Health
Faculty mentorship guides teams through client communication, technical execution, and deliverable development
Students gain professional portfolio material, networking access, and job-ready experience
Toolkits & Platforms
Students gain proficiency in:
Languages: Python, R, SQL
Frameworks: Scikit-learn, TensorFlow, PyTorch
Big Data Tools: Hadoop, Spark, Airflow
Cloud Platforms: AWS, GCP
Version Control: Git/GitHub
Visualization: Tableau, Matplotlib, Seaborn
USF’s MSDS graduates are known for their technical strength, industry readiness, and ability to translate data insights into business and policy impact.
Career Outcomes
Graduates typically secure roles such as:
Top Employers
USF graduates are employed at:
Professional Growth & Further Study
Many alumni go on to:
Salary Overview-
Top Employers-
Geographic Placement-
Industry Sectors-
Career Growth and Progression-
What This Means for You-
Bachelor’s Degree: Hold a bachelor’s degree in any field (science, engineering, economics, etc.), provided you’ve completed prerequisite coursework. Prerequisite Coursework: Complete college-level courses in probability & statistics, programming (Python, C++, Java, or R), and linear algebra before starting the program. Transcripts: Upload unofficial transcripts for all institutions attended; official ones and certified English translations (if applicable) are required upon admission.Statement of Purpose: Submit a 1–2 page statement outlining your academic/work background, career goals, program fit, and explaining any academic deficiencies.Resume or CV: Provide a current résumé describing your education, work history, relevant coursework, and experiences. Letters of Recommendation: Provide at least two recommendation letters (academic and/or professional).GRE: Not Required.English Proficiency (International): Submit TOEFL, IELTS, Duolingo, or PTE scores unless you qualify for an exemption. Admissions Interview: If selected, attend an interview assessing foundational knowledge in statistics, linear algebra, and programming—successful completion is required for admission.Deadlines: Apply online by priority deadline (Dec 5) or final deadline (Mar 1) for Summer admission; decisions by May 15.Three‑Year Bachelor’s Degrees: The university requires a U.S.-equivalent bachelor’s degree but does not explicitly state policies for three-year degrees, so applicants with such degrees should reach out to the program for clarity .WES Evaluation: USF does not require WES or other credential evaluations, but all international applicants must submit official academic transcripts via the online system.Data AnalystData ScientistBusiness AnalystStatisticianStatistical ProgrammerSAS ProgrammerMachine Learning EngineerDeep Learning EngineerAI ResearcherData EngineerBI DeveloperData ArchitectAnalytics ConsultantAdvisory ConsultantQuantitative AnalystRisk AnalystOperations AnalystMarketing AnalystResearch ScientistInsights AnalystForecasting AnalystHealthcare Data AnalystFinancial Data AnalystProduct Analyst
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University of San Francisco
