CA

Master's in DS/DA
On-Campus

University of San Francisco

University of San Francisco

  • San Francisco
About This Program

This master’s degree offers a state-of-the-art curriculum in AI and data science, focusing on the strategic application of knowledge across industries.

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What You'll Learn

Students will learn to scrape, clean, and model data using Python and SQL while gaining theoretical understanding of advanced machine learning techniques.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program features courses in AI engineering, ethics and security, deep learning, and offers an optional concentration in scalable data engineering infrastructures.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. Big Data Analytics 4. Statistical Modeling and Inference 5. Data Visualization and Communication 6. Artificial Intelligence Systems
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 field such as computer science, mathematics, statistics, or engineering with a minimum GPA of 3.0 is required, along with demonstrated knowledge in programming, data structures, algorithms, databases, calculus, probability, and statistics.
Academic Requirements (Typical)

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

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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

Thrive 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
35.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. AI Specialist 4. Data Analyst
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Meta, and consulting firms such as Deloitte and Accenture.
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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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