AI Minor
Minor in Applied Machine Learning and Artificial Intelligence
This minor prepares students to understand, build, and apply intelligent systems — and is designed to be accessible across nearly all majors. It meets real industry demand while complementing existing programs like the Data Science major, with a distinct focus on algorithmic, modeling, and system-level applications of ML and AI.
4
Required Courses
2
Elective Courses
What You Will Learn
Graduates of this minor leave with three interconnected capabilities that make them ready to contribute to AI-driven work in any field.
Understand AI & ML Fundamentals
Develop a working knowledge of the core concepts, theories, and algorithms behind machine learning and artificial intelligence — and learn how to choose the right approach for different types of problems.
Build & Apply Intelligent Systems
Implement supervised and unsupervised learning, reinforcement learning, and deep learning techniques to solve real, complex problems — applying skills from hands-on coursework to your own field of study.
Make Data-Driven Decisions
Learn to identify patterns in data, design experiments, and use evidence to address real-world challenges — the analytical mindset that employers across every industry are looking for.
How the Curriculum Is Structured
Six courses total — four required areas and two electives chosen from a broad list. All courses are already in the Clarkson catalog.
Required Areas (4 courses)
Probability & Statistics
The mathematical foundation for understanding and modeling uncertainty in data.
Linear Algebra
The language of modern ML — vectors, matrices, and transformations that underpin nearly every algorithm.
Programming & Data Science
Programming fundamentals plus an introduction to data science — the practical toolkit for working with real datasets.
Machine Learning Core
A hands-on course in machine learning tailored to the student’s background — with pathway options through ECE, IS, or CS.
Elective Areas (choose 2)
Choose two courses from a broad menu that lets you apply AI to your own interests and field of study:
- Deep Learning
- Artificial Intelligence
- Computer Vision
- Pattern Recognition
- Biometrics
- Mobile Robotics
- Bayesian Data Analysis
- AI in Manufacturing
- High Performance Computing
- Ethics in Data Science
- Data Science for Power Systems
- Biomedical Signal Processing with ML
Designed for Every Major
Flexible Pathways
Core requirements can be satisfied through multiple course options tailored to your background — whether you come from engineering, information systems, or computer science.
Apply AI to Your Field
Electives span biomedicine, power systems, mechanical engineering, manufacturing, and ethics — letting you connect AI directly to your area of study.
Open to All Majors
Structured to complement any undergraduate degree at Clarkson. Speak with your advisor about adding it to your plan of study.