Seidenberg School of CSIS Homepage
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.
Seidenberg graduates employed, continuing education, or service
Average salary for Seidenberg master's grad
tech jobs added each year—U.S. Bureau of Labor Statistics
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, cybersecurity, 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
“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
"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
"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.
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.