The 8 Ivy League schools – Harvard, Yale, Princeton, Columbia, Cornell, Dartmouth, Brown, and the University of Pennsylvania – are among the most prestigious universities in the world. In 2025, all 8 Ivy League schools are ranked in the top-20 of the U.S. News & World Report national university ranking. While these institutions are highly selective and difficult to get into, they offer many of their courses online for free.
Using Class Central’s database, I’ve compiled these courses for you. In total, Ivy League schools currently offer over 850 courses that have attracted 60 million enrollments and 1.7 million bookmarks.
Computer Science (59 courses)
- CS50’s Introduction to Computer Science from Harvard University
- Advanced Algorithms (COMPSCI 224) from Harvard University
- Algorithms, Part I from Princeton University
- CS50’s Introduction to Artificial Intelligence with Python from Harvard University
- CS50’s Introduction to Cybersecurity from Harvard University
- Bitcoin and Cryptocurrency Technologies from Princeton University
- Computer Science: Programming with a Purpose from Princeton University
- Algorithms, Part II from Princeton University
- Computer Architecture from Princeton University
- CS50’s Computer Science for Business Professionals from Harvard University
- CS50’s Understanding Technology from Harvard University
- CS50’s Computer Science for Lawyers from Harvard University
- CS50’s AP® Computer Science Principles from Harvard University
- Computational Thinking for Problem Solving from University of Pennsylvania
- Computer Science: Algorithms, Theory, and Machines from Princeton University
- Analysis of Algorithms from Princeton University
- Fundamentals of TinyML from Harvard University
- Machine Learning and AI with Python from Harvard University
- AI Fundamentals for Non-Data Scientists from University of Pennsylvania
- Applications of TinyML from Harvard University
- Deploying TinyML from Harvard University
- AI Applications in Marketing and Finance from University of Pennsylvania
- Camera and Imaging from Columbia University
- AI Strategy and Governance from University of Pennsylvania
- AI Applications in People Management from University of Pennsylvania
- Алгоритмы, часть I from Princeton University
- HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) from Columbia University
- AI For Business from University of Pennsylvania
- HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective) from Columbia University
- AI in Education: Leveraging ChatGPT for Teaching from University of Pennsylvania
- First Principles of Computer Vision from Columbia University
- MLOps for Scaling TinyML from Harvard University
- 3D Reconstruction – Single Viewpoint from Columbia University
- Features and Boundaries from Columbia University
- 3D Reconstruction – Multiple Viewpoints from Columbia University
- Visual Perception from Columbia University
- HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective) from Columbia University
- Decision Making and Reinforcement Learning from Columbia University
- Artificial Intelligence Essentials from University of Pennsylvania
- Programming & Data Structures from Columbia University
- Machine Learning Essentials from University of Pennsylvania
- Applications of Machine Learning in Plant Science from Cornell University
- Deep Learning Essentials from University of Pennsylvania
- Race, Technology, and Algorithmic Bias | Vision & Justice || Radcliffe Institute from Harvard University
- Finding Fairness | Cynthia Dwork || Radcliffe Institute from Harvard University
- CS50 2012 / Week 3, continued from Harvard University
- Harvard CS50 – Full Computer Science University Course from Harvard University
- Computer Science Essentials for Software Development from University of Pennsylvania
- Master of Computer and Information Technology from University of Pennsylvania
- AI and Machine Learning Essentials with Python from University of Pennsylvania
- Machine Learning: Unsupervised Learning from Brown University, Georgia Institute of Technology
- Reinforcement Learning from Brown University, Georgia Institute of Technology
- Artificial Intelligence from Columbia University
- Computer Science and Mobile Apps from Harvard University
- Computer Science for Game Development from Harvard University
- Computer Science for Web Programming from Harvard University
- Computer Science for Artificial Intelligence from Harvard University
- Tiny Machine Learning (TinyML) from Harvard University
- Applied Tiny Machine Learning (TinyML) for Scale from Harvard University
- Computer Science for Python Programming from Harvard University
- Health Informatics from Yale University
Data Science (27 courses)
- Data Science: R Basics from Harvard University
- Data Science: Machine Learning from Harvard University
- Statistics and R from Harvard University
- Algorithms for Big Data (COMPSCI 229r) from Harvard University
- Data Science: Visualization from Harvard University
- Data Science: Probability from Harvard University
- Introduction to Data Science with Python from Harvard University
- People Analytics from University of Pennsylvania
- Data Science: Inference and Modeling from Harvard University
- High-Dimensional Data Analysis from Harvard University
- Principles, Statistical and Computational Tools for Reproducible Data Science from Harvard University
- Data Science: Productivity Tools from Harvard University
- Data Science: Wrangling from Harvard University
- Data Science: Capstone from Harvard University
- Causal Diagrams: Draw Your Assumptions Before Your Conclusions from Harvard University
- Data Analysis Using Python from University of Pennsylvania
- Big Data and Education from University of Pennsylvania
- Knowledge Inference and Structure Discovery for Education from University of Pennsylvania
- Next in Data Visualization | Michelle Borkin || Radcliffe Institute from Harvard University
- Next in Data Visualization | Arvind Satyanarayan || Radcliffe Institute from Harvard University
- Algorithmic Accountability: Designing for Safety | Ben Shneiderman || Radcliffe Institute from Harvard University
- STAT115 2019 from Harvard University
- STAT115 2020 from Harvard University
- STAT115 2018 from Harvard University
- Data Science for Executives from Columbia University
- Data Science from Harvard University
- Data Analysis for Life Sciences from Harvard University
Programming (17 courses)
- CS50‘s Web Programming with Python and JavaScript from Harvard University
- CS50’s Introduction to Programming with Python from Harvard University
- CS50’s Mobile App Development with React Native from Harvard University
- Using Python for Research from Harvard University
- CS50’s Introduction to Programming with Scratch from Harvard University
- Introduction to Python Programming from University of Pennsylvania
- CS50’s Introduction to Databases with SQL from Harvard University
- Quantitative Methods for Biology from Harvard University
- Introduction to Programming with Python and Java from University of Pennsylvania
- Introduction to Java and Object-Oriented Programming from University of Pennsylvania
- The Computing Technology Inside Your Smartphone from Cornell University
- Inheritance and Data Structures in Java from University of Pennsylvania
- Ciencia de Datos: Fundamentos de R from Harvard University
- CS50’s Introduction to Programming with R from Harvard University
- Database Systems – Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis) from Cornell University
- Haskell: Lecture notes and assignments from University of Pennsylvania
- Learning Python for Data Science from Harvard University
How do I register for the courses?
Just click on the course you want and the link will take you directly to the official page of the university
