CA

Master's in DS/DA
On-Campus

San Francisco State University | MS in Data Science and Artificial Intelligence

  • San Francisco


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.

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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.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Data Science and Artificial Intelligence at San Francisco State University is a 1.5-2 year full-time graduate program emphasizing algorithms, machine learning, big data systems, and hands-on research projects.
Typical Course Topics
1. Analysis of Algorithms 2. Artificial Intelligence 3. Data Mining 4. Deep Learning 5. Machine Learning 6. Data Visualization and Visual Analytics
Program Specializations:
Deep Learning
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
Data Scientist: $120,000 Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. AI Researcher 4. Data Analyst
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Meta, Amazon, and industry leaders in finance and healthcare such as BlackRock and UCSF.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
$ 12,630
Format
On-Campus
Specializations
Deep Learning
MLOps/AI Engineering
Official Resources
Program Website
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