CA

Certificates in AI, Master's in DS/DA
On-Campus

San Francisco State University

San Francisco State University

  • 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

Students acquire expertise in data modeling, deep learning, and big data platforms, learning to design software systems that tackle problems throughout the entire data science lifecycle.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
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.
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.

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Career Opportunities in AI

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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Data Scientist: $120,000 Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
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.
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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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