Master of Science in Generative AI

Format: Online Request Info
Application Deadlines
  • Spring 2026 Priority Deadline: November 6, 2025
  • Spring 2026 Regular Deadline: December 4, 2025

Launch Term: Spring 2026

Take the lead in transforming organizations through generative AI

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, scheduled for launch in the January 2026 Spring semester.

In this new applied degree program developed by leading practitioners, students will develop an understanding of the current AI solution ecosystem and learn how to apply these technologies to create organizational value.

The program is designed for the tech-savvy executive, business transformation officer, or decision-maker who seeks to develop a broader and deeper understanding of how to solve real-world problems and automate organizational processes – beyond attaining AI literacy or becoming an AI power user – while earning a graduate academic credential rather than a certificate from a technical training program. 

Program At-a-Glance

  • 100% online, flexible for working professionals
  • 30-credit hour graduate program
  • Hands-on coursework in Machine Learning, Neural Networks, Large Language Models, prompt engineering, fine-tuning, in-content learning, retrieval-augmented generation and agentic AI
  • 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 Open AI’s ChatGPT, Microsoft Copilot, Claude from Anthropic, and Google Gemini, which are used to automate processes, enhance personalization, and improve organizational performance.

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:

  • Business Transformation Officer
  • Program Manager
  • Product Manager
  • Solution Architect
  • Business Process Engineer
  • Prompt Engineer

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

View full curriculum.

Admissions Criteria

  • Bachelor’s degree from an accredited institution
  • Applicants must pass a free, online test on statistics and programming skills hosted on a web site that features instructional aides to help candidates prepare
  • Candidates with strong technical and/or quantitative backgrounds (math, physics, etc.) are encouraged to apply
  • Minimum 3.0 GPA
     

Bridge Tutorial

All applicants are required to take the Bridge Tutorial, a free, self-paced, online mini-course to assess applicants’ skills required to succeed in the program.  

The course is designed so that qualified/experienced applicants can quickly/easily demonstrate their competencies by answering a set of multi-choice questions. However, those applicants who don’t pass on the first try are given a second chance, receiving feedback on their responses as well as instructional aides and tutorials on the covered subject matter. Given that tutorials on the subject matter are provided, and the assessment is not timed, it’s essentially an “open book” test. 

For questions, please email datascience@sps.cuny.edu

Application Deadlines

  • Spring 2026 Priority Deadline: November 6, 2025
  • Spring 2026 Regular Deadline: December 4, 2025
Apply Now

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CUNY SPS Academic Director Dr. Arthur O'Connor shares his insight in a recent Computerworld article, examining how nearly two-thirds of U.S. jobs are expected to be impacted by artificial intelligence. The piece explores how AI will shift—not eliminate—roles across industries, emphasizing the growing need for workforce adaptability and digital upskilling to meet the demands of a rapidly evolving labor market.