MasterOn-CampusFull-Time

San Francisco State University

MS in Data Science and Artificial Intelligence

San Francisco, California1.5 $13K total tuition
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How this program compares

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Est. Salary$120,000 Machine Learning Engineer
Job Growth+36%
Top RoleData Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$13K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Deep Learning, MLOps/AI Engineering

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.

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+)

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