University of San Francisco

How this program compares

At an estimated $59.3K in total tuition, the MS in DS & AI 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 field such as computer science, mathematics, statistics, or engineering with a minimum GPA of 3.0 is required, along with demonstrated knowledge in programming, data structures, algorithms, databases, calculus, probability, and statistics.

About This Program

This master's degree offers a state-of-the-art curriculum in AI and data science, focusing on the strategic application of knowledge across industries. 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.

Thrive 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

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

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

What You'll Learn

• Apply machine learning and statistical techniques to large datasets.
• Build and deploy AI models for predictive analytics.
• Clean, process, and visualize complex data structures.
• Develop software systems integrating data science and AI solutions.

Curriculum Highlights

The program features courses in AI engineering, ethics and security, deep learning, and offers an optional concentration in scalable data engineering infrastructures.

Top Employers

Top employers include tech companies like Google, Amazon, Meta, and consulting firms such as Deloitte and Accenture.

Admissions

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

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

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