CA

Master's in DS/DA
On-Campus

University of San Francisco

MS in Data Science and Artificial Intelligence

  • San Francisco
About This Program

This intensive one-year, on-campus program integrates data science and artificial intelligence to prepare students for high-level technical careers.

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What You'll Learn

Graduates will learn to use contemporary programming languages to model large data volumes and understand the social, ethical, and legal issues of AI.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes linear regression, machine learning, deep learning, distributed computing, and a nine-month hands-on practicum with external industry partners.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Data Mining 4. Artificial Intelligence 5. Big Data Platforms 6. Data Visualization
Program Specializations:
Generative AI and LLMs
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in a quantitative or computing field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and demonstrated knowledge in data structures, programming, algorithms, databases, and statistics.
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

Advance 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
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 Meta, Google, Amazon, and industry leaders like Block Inc., BlackRock, and AWS.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 59,325
Format
On-Campus
Specializations
Generative AI and LLMs
MLOps/AI Engineering
Official Resources
Program Website
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