
Curriculum
#1 In Artificial Intelligence
U.S. News and World Report Ranks Carnegie Mellon University No. 1 in artificial intelligence
Artificial Intelligence Programs
Carnegie Mellon's renowned artificial intelligence program, ranked 2025’s #1 artificial intelligence program in the world, is known for its groundbreaking research and innovative technologies. Students in the program go far beyond fundamentals, reaching into the bleeding edge of technological possibilities to prepare for a more AI-centric future.
The School of Computer Science offers the world’s leading undergraduate bachelor of science in Artificial Intelligence, graduate-level Master of Science in Artificial Intelligence and Innovation, and graduate certificates in Generative AI. Additionally, undergraduate students enrolled at CMU can pursue artificial intelligence as a minor.
Machine Learning Programs
Since 2006, Carnegie Mellon’s Machine Learning Department has offered comprehensive academic programs, including Ph.D., Master's, and undergraduate options such as a Minor and Concentration in machine learning.
These programs emphasize interdisciplinary research and applications in areas like natural language processing, robotics, and data science. Graduates are prepared to address the growing demand for machine learning expertise across industries.
AI Engineering Graduate Programs
Carnegie Mellon's Master of Science in Artificial Intelligence Engineering (MS AIE) integrates AI and machine learning with engineering disciplines, enabling students to develop AI-based solutions for complex engineering challenges.
The program offers core courses in AI systems, machine learning, and trustworthy AI, while allowing specialization within various engineering departments. Graduates are equipped for roles such as data scientists, neuroengineers, and deep learning research engineers.
Artificial Intelligence Programs A-Z
CMU offers over 25 programs at all levels surrounding AI. Explore some of the programs in depth.
- Master of Science in Artificial Intelligence Engineering - Biomedical Engineering (MSAIE-BME)
- Master of Science in Artificial Intelligence Engineering - Information Security (MSAIE-IS)
- Master of Science in Artificial Intelligence Engineering - Chemical Engineering
- Master of Science in AI Engineering - Civil Engineering
- Master of Science in Artificial Intelligence - Electrical and Computer Engineering
- Master of Science in Artificial Intelligence Engineering - Materials Science and Engineering
- Master of Science in Artificial Intelligence Engineering - Mechanical Engineering
- Master of Science in Artificial Intelligence and Innovation
- Master of Science in Machine Learning
- Master of Science in Machine Learning - Applied Study
- Master of Science in Intelligent Information Systems
- Master’s of AI Engineering
- Master of Science in Automated Science
- Master of Science in Computational Biology
- Master of Business Administration - AI in Business Concentration
- Master of Science in Product Management
- Master of Science in Engineering Artificial Intelligence (located at the Africa Campus)
- Online Graduate Certificate in Generative AI & Large Language Models
- Online Graduate Certificate in AI Engineering Fundamentals - Mechanical Engineering
- Online Graduate Certificate in AI Engineering - Digital Twins & Analytics
- Online Graduate Certificate in Managing AI Systems
- Online Graduate Certificate in Machine Learning and Data Science Foundations
AI curriculum and courses across campus
School of Computer Science courses include:
- Computational Photography
- Convex Optimization
- Design of Artificial Intelligence Products
- Human-AI Interaction
- Human Information Processing and Artificial Intelligence
- Machine Learning for Text and Graph-based Mining
- Neural Networks for NLP
College of Engineering courses include:
- Energy Systems Modeling
- Introduction to Deep Learning
- Machine Learning & AI for Engineers
- Special Topics: Systems and Tool Chains for AI Engineers
- Special Topics: Trustworthy AI
Heinz College of Information Systems and Public Policy courses include:
- Agent-Based Modeling and Digital Twins
- Applications of NL(X) and LLM
- Demystifying AI
- Technologies Transforming Arts Enterprises
- Fundamentals of Operationalizing AI: Mastering AI Lifecycle from Theory to Practice
- Machine Learning for Problem Solving
- Responsible AI: Principles, Policies, Practices
Mellon College of Science courses include:
- Computational Modeling, Statistical Analysis and Machine Learning in Science
- Future Lab - DNA Science in the Cloud
- Large-Scale Computing in Data Science
- Neural Networks & Deep Learning in Science
- Welcome to the Future Lab - Science in the Cloud
Dietrich College of Humanities and Social Sciences courses include:
- Advanced Methods for Data Analysis
- Machine Learning for Structured Data
- Machine Learning with Graphs
- Machine Learning with Large Datasets
- Modern Regression
- Principles of Iterative Computation
Tepper School of Business courses include:
- AI Applications in Business
- Applied Business AI
- Design of Artificial Intelligence Products
- Ethics and AI
- Machine Learning for Business Applications
- Optimization for Prescriptive Analytics
- Technology and the Future of Work
College of Fine Arts courses include:
- Advanced Interaction & Service Design Concepts
- Art and Generative AI
- Prototyping Lab I: Environments
- Serious Game: Generative Systems for Worldbuilding
- Taxonavigating the Digital Space
- Vector Visions: Introduction to Image Processing and AI for Designers