Here are 250 Ivy League courses you can take online right now for free

The 8 Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia universities, and the University of Pennsylvania.

All eight schools place in the top fifteen of the U.S. News and World Report 2017 national university rankings.

These Ivy League schools are also highly selective and extremely hard to get into. But the good news is that all these universities now offer free online courses across multiple online course platforms.

So far, they’ve created over 300 courses, of which around 250 are still active. Class Central has made a collection of all these, which you can explore below. I’ve split these courses into the following categories:

  • Computer Science
  • Business & Management
  • Humanities
  • Art & Design
  • Science
  • Health & Medicine
  • Mathematics
  • Education & Teaching
  • and Engineering

I’ve also assembled these courses on Class Central’s collection page for Ivy League MOOCs. This collection gets updated automatically as new courses are added. You can subscribe to receive updates by clicking the blue “follow” button there.

Ivy League MOOCs collection on Class Central

You can also watch Quincy Larson’s interview with me about this article.

Computer Science (28 courses)

Introduction to Computer Science
Harvard University via edX
★★★★★ (52 ratings)

Algorithms, Part I
Princeton University via Coursera
★★★★☆ (48 ratings)

Machine Learning
Georgia Institute of Technology via Udacity
★★★★★ (4 ratings)

Analysis of Algorithms
Princeton University via Coursera
★★★★★ (4 ratings)

Bitcoin and Cryptocurrency Technologies
Princeton University via Coursera
★★★★☆ (10 ratings)

Introduction to Spreadsheets and Models
University of Pennsylvania via Coursera
★★★★★ (3 ratings)

Computer Architecture
Princeton University via Coursera
★★★★★ (4 ratings)

Machine Learning
Brown University via Udacity
★★★★★ (1 rating)

Networks Illustrated: Principles without Calculus
Princeton University via Coursera
★★★★☆ (3 ratings)

Software Defined Networking
Princeton University via Coursera
★★★★☆ (5 ratings)

Machine Learning 1 — Supervised Learning
Brown University via Udacity
★★★★☆ (1 rating)

Machine Learning: Unsupervised Learning
Brown University via Udacity
★★★★☆ (1 rating)

Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays
Harvard University via edX
★★★★☆ (1 rating)

Statistics and R
Harvard University via edX
★★★★☆ (13 ratings)

Networks: Friends, Money, and Bytes
Princeton University via Coursera
★★★☆☆ (1 rating)

The Computing Technology Inside Your Smartphone
Cornell University via edX
★★★★★ (2 ratings)

Using Python for Research
Harvard University via edX

Case Studies in Functional Genomics
Harvard University via edX
★★★☆☆ (1 rating)

Machine Learning for Data Science and Analytics
Columbia University via edX
★★★☆☆ (15 ratings)

Reinforcement Learning
Brown University via Udacity
★★☆☆☆ (6 ratings)

Enabling Technologies for Data Science and Analytics: The Internet of Things
Columbia University via edX
★☆☆☆☆ (5 ratings)

Statistical Thinking for Data Science and Analytics
Columbia University via edX
★★☆☆☆ (13 ratings)

Artificial Intelligence (AI)
Columbia University via edX
★☆☆☆☆ (1 rating)

Machine Learning
Columbia University via edX

Big Data in Education
Columbia University via edX

High-performance Computing for Reproducible Genomics
Harvard University via edX

AP® Computer Science Principles
Harvard University via edX

Animation and CGI Motion
Columbia University via edX

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