MBAOnlineFlexible

CUNY School of Professional Studies

MS in Generative AI

New York, New York1.5 $14K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $14.1K in total tuition, the MS in Generative AI sits roughly 67% below the $42.4K average for AI master's programs in our database β€” placing it in the 9th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Est. Salary$145,000
Job Growth+23%
Top RoleAI Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$14K total
Format
Online
Schedule
Flexible
GRE / GMAT
Not Required
Concentrations
Generative AI and LLMs, AI Engineering / Applied AI

Typical admitted student: A bachelor's degree in computer science, data science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or equivalent. Relevant coursework in machine learning or statistics is preferred.

About This Program

This innovative online master's program is designed for executives and business transformation officers to master the application of generative AI technologies in organizational settings. Coursework concentrates on Generative AI and LLMs and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

Estimated total tuition is $14.1K, below the $42.4K average for AI master's programs in our database and in the 9th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Thrive as AI Engineer in Cross-Industry AI with neural networks expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $145,000.

Career Outcomes

Thrive as AI Engineer in Cross-Industry AI with neural networks expertise

  • 1. Generative AI Engineer
  • 2. AI Research Scientist
  • 3. Machine Learning Specialist
  • 4. AI Product Developer

What You'll Learn

  • Design and implement generative AI models like GANs and diffusion models.
  • Apply natural language processing techniques for text and image generation.
  • Evaluate ethical implications and biases in generative AI systems.
  • Integrate generative AI into real-world applications and workflows.

Curriculum Highlights

The curriculum features courses in machine learning, neural networks, LangChain, vector databases, and responsible AI, culminating in a hands-on generative AI capstone project.

Top Employers

Top employers include tech leaders like Google, Microsoft, OpenAI, and Amazon, along with AI startups and consulting firms.

Admissions

A bachelor's degree in computer science, data science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or equivalent. Relevant coursework in machine learning or statistics is preferred.

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: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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