Academics
Artificial Intelligence at Manhattan University
Build the skills to analyze data, design intelligent systems, and apply AI with purpose.
AI education at Manhattan University spans data science, computer science, business analytics, and engineering, with one goal: graduates ready to lead in an AI-driven economy. Minutes from Manhattan, students build that readiness through internships and industry connections with the NYC employers hiring AI talent now.
Your Future in AI
New Programs in Data Science and AI
Two new offerings expand the ways Manhattan University students engage with intelligent technologies, regardless of their major. The B.S. in Data Science and minor in artificial intelligence prepare students to work with machine learning, data analysis, and AI-driven systems in one of the world's leading technology markets. Both programs draw on faculty from all three of the University's schools, pairing technical depth with the judgment to apply AI responsibly. Whether you're pursuing a data science degree or adding AI fluency to another field, your path starts here.
Built on a rigorous foundation in mathematics, statistics, programming, and machine learning, the B.S. in Data Science prepares students to analyze complex data and build intelligent systems. The interdisciplinary curriculum draws on all three schools and culminates in a capstone project that applies AI techniques to real-world challenges in fields such as health care, finance, and public policy.
Open to students in every major, the AI minor provides structured instruction on how intelligent systems work, their limitations, and how to apply them responsibly. Tailored pathways accommodate students with and without prior programming experience, with upper-level coursework spanning machine learning, deep learning, generative AI, and trustworthy AI.
Build on a Strong Foundation
More Ways to Study AI
AI at Manhattan University builds on established programs across computing, business, and engineering.
Master the algorithms, data structures, and systems thinking behind every intelligent technology. Coursework in artificial intelligence, neural networks, and deep learning and generative AI gives students a direct path into the field.
Bridge business strategy and technology, learning to manage the data and systems organizations run on. Students build practical skills in programming and business data management that connect directly to AI applications.
Turn complex data into clear insights that power smarter business decisions. Students gain experience in AI and machine learning, data mining, and data visualization, supported by faculty mentorship in small classes.
Design the hardware and embedded systems that bring intelligent technologies to life. Upper-level coursework spans applied machine learning, image processing and pattern recognition, and trustworthy AI applications in engineering.
About
Manhattan University
Founded in 1853, Manhattan University is an independent Lasallian Catholic institution in Riverdale, New York, that embraces students of all faiths, cultures, and traditions. The University provides a dynamic student-centered education that prepares graduates for lives of personal development, professional success, civic engagement, and service to their fellow human beings. Across the Kakos School of Arts and Sciences, the O'Malley School of Business, and the School of Engineering, students pair a broad liberal arts foundation with professional preparation, all just minutes from the heart of New York City.
Learn From Leaders Across Three Schools
AI education at Manhattan University is powered by faculty collaboration across computer science, business analytics, accounting, law, and electrical, computer, and mechanical engineering. These are professors who teach in small classes, mentor students through research and applied projects, and bring the perspectives of three schools to a single, shared curriculum.
Alin Tomoiaga, Ph.D.
Accounting, Business Analytics, CIS & Law
Artificial Intelligence, Machine Learning & Blockchain
Dr. Tomoiaga is an Associate Professor and holds the Dr. James Suarez Endowed Chair in the O’Malley School of Business. His teaching spans business statistics, regression and forecasting modeling, artificial intelligence and machine learning, and blockchain, smart contracts, and NFTs, preparing students to apply emerging technologies to data-driven business decision-making.
Wafa Elmannai, Ph.D.
Electrical & Computer Engineering
Wireless Sensor Networks & Health Assistive Devices
Dr. Elmannai is an Associate Professor who joined the Department of Electrical and Computer Engineering in 2018 after earning her Ph.D. in Computer Science and Engineering from the University of Bridgeport. Her research interests include mobile communications, wireless sensor networks, quantum computing, design of mobile applications, computer vision, and health assistive devices.
Igor Aizenberg, Ph.D.
Computer Science
Complex-Valued Neural Networks & Intelligent Image Processing
Dr. Aizenberg has served as Professor and Chair of the Department of Computer Science since 2016, following research and faculty appointments in Ukraine, Belgium, Israel, Germany, Finland, and Texas. His research interests include complex-valued neural networks, classification, pattern recognition, intelligent image processing, and spectral techniques. He is a Senior Member of IEEE and a Fulbright Specialist.
Prepare for the Real World
At Manhattan University, your education is built around who you are and where you want to go. Whether you’re ready to apply or just starting to explore, take the next step when you’re ready — we’re here to help.