Master’s in Artificial Intelligence

Pace University’s Seidenberg School of Computer Science and Information Systems offers two artificial intelligence graduate programs designed for distinct career goals: the MS in Artificial Intelligence and the MS in Applied AI. As the AI revolution is expected to create 97 million new jobs globally by 2026, these programs are built to prepare graduates for one of the fastest-growing fields in technology.

Whether you're building AI systems or putting them to work in real-world settings, Pace gives you the skills, tools, and industry access to thrive.

Program highlights:

• Career outlook in AI is accelerating rapidly: AI specialist roles have grown by 176% globally, and the global AI market is projected to reach $757.6 billion by 2026, with U.S. market growth expected to exceed $851 billion by 2034.
• Choose your path:
  • Artificial Intelligence, MS: A technical, research-focused degree covering machine learning (ML), natural language processing (NLP), deep learning, and robotics.
    • Best for: Students with technical backgrounds who want to design and build AI systems
    • Focus areas: ML, deep learning, NLP, robotics
    • Career paths: AI engineer, ML specialist, robotics developer, research scientist
    • Program style: Technical, research-intensive
    • Ideal candidate: Strong coding and math skills, interest in algorithms and systems
    • Format: On-campus
  • Applied Artificial Intelligence, MS: A practical, interdisciplinary program focused on AI strategy, integration, and use across industries.
    • Best for: Professionals looking to apply AI tools in strategic, real-world contexts
    • Focus areas: AI tool integration, data strategy, ethics, process improvement
    • Career paths: AI product manager, data analyst, innovation lead, tech strategist
    • Program style: Interdisciplinary, practice-focused
    • Ideal candidate: Experience in business/tech and interest in using AI to solve problems
    • Format: Online or on-campus
• Both programs are STEM-designated and eligible for extended OPT (Optional Practical Training) for international students.
• Learn directly from expert faculty who are currently conducting research in LLMs, robotics, and explainable AI.
• Take part in hands-on projects in campus laboratories, including the Pace AI Lab, Augmented Intelligence Lab, and Robotics Lab.
• Present research, contribute to applied projects, and build a portfolio that stands out to employers.
• Tap into career support and internship access through Pace’s New York City location and global alumni network.
• Study in New York City and build your network in one of the world’s top tech hubs.