--- title: "AI at Manhattan University" url: "/academics/ai" type: page date: 2026-07-07 updated: 2026-07-21 --- # AI at Manhattan University ![]()[Embedded Video](https://player.vimeo.com/video/1211417846?h=6c2377dcbd&app_id=58479&background=1) Pause 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. [ Request Information ](/admissions/request-information) [ Explore Data Science Major & AI Minor ](#ai-programs) [ Explore More Ways to Study AI ](#more-ai-programs) What Sets Us Apart ## The Manhattan University Difference AI education at Manhattan University is built on collaboration across the Kakos School of Arts and Sciences, the O'Malley School of Business, and the School of Engineering. Students gain a genuine understanding of how intelligent systems work, their limitations, and how to apply them responsibly, with close faculty mentorship in small classes. $112,590 Median Salary Data scientists earned a six-figure median annual wage in May 2024, according to the *Bureau of Labor Statistics*, with opportunities across nearly every industry. Three Schools, One Vision Faculty from arts and sciences, business, and engineering collaborate on a shared AI curriculum, exposing students to applications across every field of study. Open to Every Major The new AI minor welcomes students from any discipline, with tailored pathways for those with and without prior programming or quantitative coursework. Ethics at the Core Consistent with our Lasallian mission, students examine privacy, bias, and transparency, asking not only what intelligent systems can do but what they should. A Rigorous Technical Core Coursework in mathematics, statistics, programming, and machine learning gives students the fluency to analyze complex data and build intelligent systems that learn. Capstone Projects with Impact In a culminating capstone, Data Science majors apply AI techniques to domain-specific problems in health care, finance, environmental science, and public policy. 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. Image ![Analyst working with Business Analytics and Data Management System on computer to make report with KPI and metrics connected to database.](/sites/default/files/styles/4_3_327w/public/media/2026-07/data-science-3000x2000.jpg?h=c6980913&itok=FsAvHJOl) [B.S. in Data Science ](/academics/programs/data-science)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. Image ![AI or Artificial intelligence concept. Businessman using computer use ai to help business and used in daily life, Digital Transformation, Internet of Things, Artificial intelligence brain,](/sites/default/files/styles/4_3_327w/public/media/2026-07/ai-minor-3000x2000.jpg?h=c6980913&itok=lYbPpHEH) [Minor in Artificial Intelligence ](/academics/programs/ai-minor)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. Image ![Machine learning , artificial intelligence, ai, deep learning blockchain neural network concept.](/sites/default/files/styles/4_3_327w/public/media/2026-06/computer-science-bs-ba-minor-2-3000x2000.jpg?h=c6980913&itok=gskS74l7) [Computer Science, B.S. / B.A. / Minor ](/academics/programs/computer-science)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. Image ![Computer Information Systems Manhattan University student in a wiring closet](/sites/default/files/styles/4_3_327w/public/media/2026-05/cis-3200x2133.jpg?h=fcf25457&itok=oF7ZjWxf) [Computer Information Systems, B.S. ](/academics/programs/computer-information-systems)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. Image ![Manhattan University professor teaching business analytics in a classroom](/sites/default/files/styles/4_3_327w/public/media/2026-03/business-classroom-3200x2000.jpg?h=1cb48fc4&itok=3SS1vzQl) [Business Analytics B.S. ](/academics/programs/business-analytics)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. Image ![Students working on a project in the lab](/sites/default/files/styles/4_3_327w/public/media/2026-05/computer-engineering-bs-3000x2000.jpg?h=c6980913&itok=08zGb7U4) [Computer Engineering, B.S. ](/academics/programs/computer-engineering-bs)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. Take Your Expertise Further ## Graduate Programs in Data and Analytics As artificial intelligence reshapes every industry, advanced skills in data and analytics have never been more valuable. Manhattan University's master's programs span business analytics, computer science, digital marketing, financial analytics, healthcare informatics, and business administration, giving graduate students multiple paths into data-driven careers. Each program combines rigorous coursework with applied learning, guided by faculty who bring industry experience into small classes. It's graduate education built for the AI economy, minutes from the heart of it all. [Explore All Graduate Programs](https://manhattan.edu/graduate/academics) [](/academics/programs/business-analytics-ms) [Business Analytics M.S. ](/academics/programs/business-analytics-ms) A STEM-designated, 30-credit online program covering predictive modeling, machine learning, and AI, completable in one year of full-time study. Explore Business Analytics M.S. [](/academics/programs/computer-science-ms) [Computer Science, M.S. ](/academics/programs/computer-science-ms) Advanced study built on algorithms, databases, networks, and operating systems, with electives spanning AI, machine learning, and cybersecurity. Explore Computer Science M.S. [](/academics/programs/digital-marketing-analytics-ms) [Digital Marketing and Analytics M.S. ](/academics/programs/digital-marketing-analytics-ms) A STEM-designated program blending creative strategy with data-driven insight, using analytics and AI to optimize modern marketing campaigns. Explore Digital Marketing and Analytics M.S. [](/academics/programs/financial-analytics-ms) [Financial Analytics M.S. ](/academics/programs/financial-analytics-ms) A STEM-designated hybrid program at the intersection of finance, technology, and analytics, with training in Python and machine learning. Explore Financial Analytics, M.S. [](/academics/programs/healthcare-informatics-ms) [Healthcare Informatics M.S. ](/academics/programs/healthcare-informatics-ms) A STEM-designated low-residency program preparing professionals to improve healthcare quality and outcomes through technology-enabled data analysis. Explore Healthcare Informatics M.S. [](/academics/programs/mba) [Master of Business Administration (MBA) ](/academics/programs/mba) An AACSB-accredited program with online and on-campus formats, including a business analytics concentration, completable in as few as 18 months. [Explore All Graduate Programs](/graduate/academics "Graduate Academics") Explore the MBA Image ![Picture of the Quad and Memorial Hall in the Summer with flowers.](/sites/default/files/styles/square_400/public/media/2026-06/campus-summer-2026-3000x2000.jpg?h=c6980913&itok=weWxs1vj) 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 More About Manhattan University ](/about) Image ![Picture of the Quad and Memorial Hall in the Summer with flowers.](/sites/default/files/styles/4_3_327w/public/media/2026-06/campus-summer-2026-3000x2000.jpg?h=c6980913&itok=NhKLhbDe) ## 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.](https://manhattan.edu/sites/default/files/profile-pictures/434554.jpg)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. ](https://manhattan.edu/directory/alin.tomoiaga) [ ![Wafa Elmannai, Ph.D.](https://manhattan.edu/sites/default/files/styles/square_400/public/profile-pictures/457385.jpg?h=44e5e9c7&itok=TQ0dOHyV)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. ](https://manhattan.edu/directory/wafa.elmannai) [ ![Igor Aizenberg, Ph.D.](https://manhattan.edu/sites/default/files/profile-pictures/423769.jpg)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. ](https://manhattan.edu/directory/igor.aizenberg) Image ![Aerial photo of Manhattan University](/sites/default/files/styles/4_3_327w/public/media/2026-03/drone-2025-3200x2400.jpg?h=9b8bd6ff&itok=xYR2ar43) ## 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. [Visit Manhattan University](/admissions/visit) [Apply Today](/admissions/apply) [Request Information](/admissions/request-information) Image ![Aerial photo of Manhattan University](/sites/default/files/styles/4_3_327w/public/media/2026-03/drone-2025-3200x2400.jpg?h=9b8bd6ff&itok=xYR2ar43)