Pace University launches Applied artificial intelligence Master’s degree

Students looking to break into the tech sector can now pursue a Master of Science in Applied Artificial Intelligence at Pace University, built around a tightly focused 30-credit curriculum (catalog.pace.edu).

Inside the 30-Credit Interdisciplinary Curriculum

The program draws on faculty mentorship and university labs on campus, blending theoretical principles and practical techniques across computer science, psychology, and information systems (catalog.pace.edu). Core requirements span six credits and feature foundational coursework including standard or advanced artificial intelligence, alongside machine learning or pattern recognition (catalog.pace.edu).

Bridge Courses for Non-Computing Backgrounds

Applicants holding academic backgrounds outside of computing are not shut out of the track. They can enroll after completing up to three bridge courses, though these specific classes do not count toward the degree credit total (catalog.pace.edu). The bridge coursework covers algorithms and computing theory, mathematical foundations of analytics, and Python programming (catalog.pace.edu).

Specialized Electives Across AI and Psychology

Beyond the core, candidates choose nine credits of AI and analytics electives, six credits of psychology electives, and three to six credits of Seidenberg School electives depending on their chosen final project track (catalog.pace.edu). The elective catalog provides specialized instruction covering data mining, intelligent agents, natural language processing, computer vision, deep learning, and generative AI (catalog.pace.edu). To build interdisciplinary understanding, students can also select psychology courses such as neuropsychology, human learning, and cognitive psychology (catalog.pace.edu).

Capstone Projects and the Path to Graduation

For the final graduation requirement, candidates select between two distinct tracks. They can take a 3-credit analytics capstone project completed during their final semester, or opt for a 6-credit thesis spanning their final two semesters of faculty-supervised research (catalog.pace.edu). Ultimately, the program aims to position graduates to design intelligent systems and develop new approaches that address complex, real-world problems (catalog.pace.edu).