University of San Francisco

How this program compares

University of San Francisco's MS in Data Science and Artificial Intelligence lists about $59.3K total tuition — about 38% above the $42.9K AI master's average (76th percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree in a quantitative or computing field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and demonstrated knowledge in data structures, programming, algorithms, databases, and statistics.

About This Program

This intensive one-year, on-campus program integrates data science and artificial intelligence to prepare students for high-level technical careers. Coursework concentrates on Generative AI and LLMs and MLOps/AI Engineering. Most students complete it in about 1 year.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Develop and deploy machine learning models for predictive analytics.

At roughly $59.3K total, University of San Francisco's MS in Data Science and Artificial Intelligence sits above the $42.9K average among AI master's programs we track — the 76th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 65 AI-related programs we track in California, of which about 37% offer an online option. On price, it comes in higher than about 63% of the California programs in our data, where typical tuition runs near $63.3K.

Career Outcomes

The MS in Data Science and Artificial Intelligence at University of San Francisco (San Francisco, California) is oriented toward Data Scientist hiring, with alumni reporting pay near $120,000. Its focus on Generative AI and LLMs and MLOps/AI Engineering maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. AI Researcher
• 4. Data Analyst

What You'll Learn

• Develop and deploy machine learning models for predictive analytics.
• Design deep learning architectures for complex pattern recognition.
• Process and analyze large-scale datasets using big data technologies.
• Build AI systems for real-world applications in diverse industries.

Curriculum Highlights

The curriculum includes linear regression, machine learning, deep learning, distributed computing, and a nine-month hands-on practicum with external industry partners.

Top Employers

Top employers include Meta, Google, Amazon, and industry leaders like Block Inc., BlackRock, and AWS.

Admissions

Admission to University of San Francisco's MS in Data Science and Artificial Intelligence generally expects a bachelor's degree. Plan for the GRE, which this program lists as required. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions