New York University

How this program compares

At an estimated $68.2K in total tuition, the MS in Computer Science – AI & ML Track sits about 61% above the $42.4K average for AI master's programs in our database — placing it in the 84th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with proficiency in programming (e.g., Python), data structures, linear algebra, and calculus. GRE scores are often optional, and relevant work or research experience strengthens applications.

About This Program

A highly adaptive master’s program in computer science that allows students to focus their studies on machine learning, algorithms, and artificial intelligence. Coursework concentrates on Machine Learning and Computer Vision. Most students complete it in about 2 years.

Estimated total tuition is $68.2K, above the $42.4K average for AI master's programs in our database and in the 84th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Advance as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $140,000.

Career Outcomes

Advance as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist (AI focus)
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Apply deep learning techniques to image recognition and natural language processing
• Develop AI systems using reinforcement learning and neural networks
• Evaluate ethical implications and optimize AI algorithms for real-world applications

Curriculum Highlights

The curriculum comprises 30 credits including core algorithms, specialized AI electives, and a capstone project or thesis that applies advanced computational theory.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and leading AI research labs.

Admissions

A bachelor's degree in computer science, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with proficiency in programming (e.g., Python), data structures, linear algebra, and calculus. GRE scores are often optional, and relevant work or research experience strengthens applications.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

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