Pace University's Seidenberg School of Computer Science and Information Systems offers the Applied Artificial Intelligence, MS, a program designed for professionals who want to harness AI in real-world, strategic contexts. As the AI revolution is expected to create 97 million new jobs globally by 2026, this program prepares graduates to lead in one of the fastest-growing fields in technology.
Whether you're looking to integrate AI into business processes, drive innovation, or make smarter data-driven decisions, 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.
- 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
- This program is 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 online with the flexibility to advance your career while learning from a university deeply connected to New York City's innovation ecosystem.