San Francisco State University

How this program compares

At an estimated $12.6K in total tuition, the MS in Data Science and Artificial Intelligence sits roughly 70% below the $42.4K average for AI master's programs in our database — placing it in the 7th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in a quantitative or computing field such as computer science, mathematics, statistics, or engineering, with a minimum GPA of 3.0 and demonstrated knowledge in data structures, programming, algorithms, databases, and statistics; conditional admission may require completing prerequisite undergraduate courses.

About This Program

This rigorous master’s program prepares students for high-demand industry roles by combining computer science, statistics, and machine learning through a broad curriculum and hands-on research. Coursework concentrates on Deep Learning and MLOps/AI Engineering. Most students complete it in about 1.5 years.

Estimated total tuition is $12.6K, below the $42.4K average for AI master's programs in our database and in the 7th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Excel as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.

Career Outcomes

Excel 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 machine learning models for predictive analytics and pattern recognition.
• Analyze and process big data using platforms and statistical methods.
• Build AI systems including deep learning and neural networks.
• Apply data visualization techniques to communicate insights effectively.

Curriculum Highlights

The 30-unit curriculum features core courses in algorithms, data mining, and statistical learning, with application areas in natural language technologies, cloud computing, and AI ethics.

Top Employers

Top employers include tech giants like Google, Meta, Amazon, and industry leaders in finance and healthcare such as BlackRock and UCSF.

Admissions

Applicants must hold a bachelor's degree in a quantitative or computing field such as computer science, mathematics, statistics, or engineering, with a minimum GPA of 3.0 and demonstrated knowledge in data structures, programming, algorithms, databases, and statistics; conditional admission may require completing prerequisite undergraduate courses.

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+)