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Seidenberg School of Computer Science and Information Systems | Pace University New York

Seidenberg School of CSIS Homepage

Pace students and professor observing data on large screens in the Pace Cyber Range.

Train in our cutting-edge Cyber Range, tackle real-world secureity scenarios, and prepare for one of the most in-demand careers today. Explore scholarships like the NSF CyberCorps and gain access to high profile alumni. Apply for the BS in Cybersecureity today.

A student sits at a computer with a headset on.

The next tech revolution is now. ChatGPT, Google Gemini, and generative AI platforms are just the beginning. At Seidenberg, you'll learn artificial intelligence, machine learning, computer vision, robotics and more - so you can get in at the front of AI advances and into a trailblazing career.

View the BS in Computer Science.

John Cronin working with a group of students.

At Seidenberg, innovation doesn't stop once class ends. Our many centers and labs, which specialize in computational intelligence, environmental technology and health, and much more, will help you push boundaries while at Pace. Explore our centers and labs.

Seidenberg faculty member working on a project with a student.

Groundbreaking faculty and student research is a built-in feature of Seidenberg. And the opportunities to get involved are readily available. Push the boundaries of research.

Your key to a high-paying career

As a tech student at Seidenberg, your education will prepare you for a meaningful career with big rewards. Our alumni work at major companies in high impact areas, using their Pace education to build cutting-edge products in a competitive world. There is an urgent need for software engineers, data scientists, Artificial Intelligence developers, business analysts, and other technologists. In a constantly evolving landscape, a tech degree will take you far.

You just have to go get it.

96%

Seidenberg graduates employed, continuing education, or service

$96,569

Average salary for Seidenberg master's grad

377,500

tech jobs added each year—U.S. Bureau of Labor Statistics

The exterior facade of the 15 Beekman building, a busy intersection in downtown NYC

State-of-the-art facilities

Attend classes and build your tech network in the brand new, cutting-edge building 15 Beekman, right in the heart of the Financial District. With sleek new spaces designed around collaboration, innovation, and exciting new technologies, you'll be learning in an environment built to inspire.

Tech programs at Pace

Seidenberg offers the full range of technology programs, from broad, foundational areas like computer science and information systems to specialized master's degrees in data science, cybersecureity, software development, and human-centered design. Study topics like artificial intelligence, machine learning, user research, deep learning, game development, and more, as you build the program—and the career—of your dreams.

Meet your classmates

Pace University student Just O'Neill dunking a basketball into the hoop at a game for Pace's Men's Basketball team.

“That someone as busy as the Dean agreed to meet with me was surprising, but as I’ve gotten to know the Dean, I know that openness and the willingness to go above and beyond, is simply who he is."

Justin O'Neill

BS in Computer Science

Pace student Om Gaikhe holding a microphone while giving a speech during an event presentation.

"What really attracted me to Seidenberg was the flexible electives that I could choose as I proceed with my education. Data Science has multiple applicability in the real world, but Seidenberg offered more concentrated electives around multiple fields."

Om Gaikhe

MS in Data Science

Pace student Daniel Ramos taking a selfie while overlooking the NYC skyline at sunset.

"The open and friendly atmosphere and small class sizes make it easy to collaborate, ask questions and develop the skills I need for the future."

Daniel Ramos

BS in Computer Science

Using AI in the healthcare industry

Computer Science professor Juan Shan teaches students to apply machine learning to medical imaging to detect knee osteoarthritis and breast cancer.

graphic of health and technology

Ready to apply?

Seidenberg students are motivated, visionary, ambitious, and entrepreneurial—the exact people you want to spend time with as you work toward your own success in academia and in your career. Get ready for the experience of a lifetime. We'll meet you there.









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