Launch Term: Spring 2026
Take the lead in shaping the future of artificial intelligence.
The Master of Science in Generative AI at the CUNY School of Professional Studies is one of the first graduate programs in the U.S. dedicated exclusively to generative artificial intelligence. Designed for professionals with a background in data science, computer science, or related STEM fields, this fully online master’s degree prepares students to design, build, and deploy ethical, real-world AI solutions.
Whether you're seeking a career in machine learning, natural language processing, or AI strategy, this program delivers the in-demand skills to succeed in a rapidly growing field.
Program At-a-Glance
- 100% online, flexible for working professionals
- 30-credit hour graduate program
- Hands-on coursework in LLMs, NLP, prompt engineering, and AI model development
- Faculty with deep expertise in AI research and industry application
- Includes capstone project focused on solving real-world problems using generative AI
What Is Generative AI?
Generative AI refers to artificial intelligence models that create original content—such as text, images, audio, and code—based on training data. This includes tools like ChatGPT, DALL·E, and Gemini, and is used across industries to improve automation, personalization, and decision-making.
Graduates of this program will learn to:
- Build and fine-tune large language models (LLMs)
- Apply natural language generation and retrieval-augmented generation (RAG)
- Design effective prompts, APIs, and agents using LangChain and vector databases
- Evaluate AI for fairness, interpretability, and ethical alignment
- Communicate AI outcomes to technical and non-technical audiences
Career Opportunities in Generative AI
According to LinkedIn and McKinsey, jobs in AI and machine learning are growing faster than almost any other tech field. Roles for professionals with expertise in generative AI include:
- Generative AI Engineer
- AI Product Manager
- Prompt Engineer
- Natural Language Processing (NLP) Scientist
- Applied Machine Learning Researcher
- AI Solutions Architect
According to recent data, AI-related roles command up to 77% higher salaries than comparable tech positions and are growing faster than nearly any other job category.
Sample Courses
- Introduction to Generative AI
- Large Language Models & MoE Architectures
- Prompt Engineering and LangChain
- Transformers and State-Based Models
- Vector Datasases and RAG Systems
- Health and Social Applications of AI
- Intelligent Agents and Responsible AI
- Capstone in Generative AI
Admissions Criteria
- Applicants must hold a bachelor’s or graduate degree in: Computer science, data science, engineering, or related fields
- Candidates with strong quantitative backgrounds (math, physics, etc.) are also welcome
- Prior coursework in machine learning is strongly recommended
- Minimum 3.0 GPA
