Artificial Intelligence Minor
Whatever your major, make AI part of your Manhattan University education.
Open to students in every discipline, the minor in artificial intelligence provides structured instruction in how intelligent systems work, what their limitations are, and how to apply them responsibly. Tailored pathways welcome students with and without prior programming experience.
This program is part of Computer Science
The Manhattan Advantage
Why Study Artificial intelligence at Manhattan University?
Artificial intelligence now touches nearly every academic discipline and professional field, yet most students graduate having used AI tools without ever understanding how they work. Manhattan University's minor closes that gap, giving students in every major a systematic grounding in AI fundamentals: how intelligent systems function, where they fall short, and how to apply them responsibly in a chosen field. Because the curriculum is developed jointly by faculty across three schools, students see AI through the lenses of computing, business, and engineering rather than a single department. It's the kind of fluency employers increasingly expect, built on the judgment the Lasallian tradition demands.
Academics
Curriculum & Courses
AI has become a foundational technology affecting nearly all academic disciplines and professional fields. While all students routinely use AI‑enabled tools, it should also be important to learn and understand AI fundamentals, including how such systems function, their limitations, and the ethical considerations surrounding their use. The Computer Science Department participates in this interdisciplinary minor.
The Minor in AI provides structured, interdisciplinary instruction in AI fundamentals to students from all majors. Its academic objective is to ensure that graduates possess a baseline understanding of AI concepts, design principles, and responsible application relevant to their fields of study.
The curriculum is designed to accommodate students with varied academic backgrounds. Thus, the curriculum explicitly recognizes that students enter the minor with varying levels of preparation. Multiple pathways are included to distinguish between students with prior coursework in programming and quantitative methods and those without such backgrounds.
- Artificial Intelligence & Machine Learning
- Cognitive-AI Based Eng Design
- Data Mining
- Deep Learning and Generative AI
- Image Processing & Pattern Recognition
- Neural Networks and Learning Systems
- Operations Research
- Parallel Computing
- Regression & Forecasting Modeling for Business Applications
Additional Information
Students complete five or six courses depending on prior programming and quantitative coursework, following a track designed for their school and major.
Explore the AI core, a common set of upper-level courses spanning computing, business, and engineering. Every pathway through the 18-credit minor includes at least three courses from this core, ensuring conceptual depth, whatever your starting point.
Transfer Credit: At most one course transferred from another institution may be credited toward the credits required for a minor.
Application: You must consult with the Chair of the respective Department in your school (the Computer Science Department for all Kakos School of Arts and Sciences students) and ask your academic adviser to help with the paperwork and add the minor to your Degree Works.
Why Study in New York City
New York City runs on artificial intelligence, from the trading floors and hospitals deploying machine learning to the media, marketing, and public-sector organizations rethinking how they work. For students in every major, that makes the city a living case study: internships, projects, and faculty networks connect classroom concepts to the industries putting AI to work. Whatever field you're preparing for, studying minutes from this market means graduating with the fluency and perspective employers here and everywhere increasingly expect.
About
One Minor, Three Schools
The minor in artificial intelligence was developed jointly by faculty in computer science, business analytics, accounting, law, and electrical, computer, and mechanical engineering, a collaboration spanning all three of Manhattan University's schools. The Kakos School of Arts and Sciences anchors the computing core, the AACSB-accredited O'Malley School of Business connects AI to strategy and analytics, and the School of Engineering brings applied depth in intelligent systems. Grounded in the Lasallian Catholic mission and located near the heart of New York City, the three schools offer a minor that complements every major.
Program Costs & Financial Aid
Manhattan University is committed to making a high-quality, career-focused education accessible and affordable. Through a combination of competitive tuition, robust financial aid, and our Jasper Guarantee, students and families can plan their education with confidence. The Jasper Guarantee locks your tuition rate for all four years—ensuring financial stability and eliminating unexpected increases as you work toward your degree.
More than 90% of Manhattan University students receive some form of financial assistance, including merit scholarships, grants, and need-based aid, significantly reducing the overall cost of attendance.
- Tuition & Fees: View current undergraduate rates
- Financial Aid: 90%+ of students receive aid
- Scholarships: Multiple merit- and need-based opportunities
- Jasper Guarantee: Your tuition rate is locked for all four years
A Manhattan University education is an investment in your future, and we are dedicated to helping you access the resources that make it possible.
A Smarter Investment in Your Future
Jasper Guarantee
At Manhattan University, every undergraduate student is protected by the Jasper Guarantee, which locks your tuition rate for all four years—ensuring clarity, stability, and peace of mind as you plan your education. This promise reflects our commitment to affordability and to supporting students and families throughout their academic journey.
Admissions Information for Manhattan University
Start Your Journey in Artificial Intelligence
Applying to Manhattan University is designed to be clear and accessible. Review the requirements below to take the next step toward your degree.
Requirements:
- Application & transcript
- SAT/ACT optional
- Personal statement
- Letter(s) of recommendation
Deadlines:
- Early Action: November 15
- Regular Decision: February 1
Admission and Application Process
International Students:
Support available for visas, documentation, and English-language assessments.
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.