University of San Francisco

How this program compares

At an estimated $59.3K in total tuition, the MS in Data Science and Artificial Intelligence sits about 40% above the $42.4K average for AI master's programs in our database — placing it in the 76th percentile on cost among the 531 we track at this level.

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.

Estimated total tuition is $59.3K, above the $42.4K average for AI master's programs in our database and in the 76th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Advance as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

Advance as Data Scientist in Cross-Industry AI with machine learning expertise

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)