26 Best MIT Courses You Can Take Online for Free

1. Introduction to Computer Science and Programming Using Python
This course teaches the fundamentals of computer science, providing students with the skills to write small-scale Python programs.
2. Introduction to Deep Learning
Focused on deep learning techniques, this course provides a strong foundation in machine learning and artificial intelligence.
3. Circuits and Electronics
Explore circuit analysis techniques, electronic devices, and amplifiers in this introductory course on electrical engineering.
4. Linear Algebra
Learn the core concepts of linear algebra, including vector spaces, matrix multiplication, eigenvalues, and eigenvectors.
5. Artificial Intelligence
Study AI fundamentals, such as knowledge representation, search algorithms, inference mechanisms, and machine learning.
6. Quantum Mechanics
Dive into the world of quantum mechanics, covering concepts like wave-particle duality and Schrödinger’s equation.
7. Differential Equations
Discover applications of differential equations in various fields while learning solution methods and techniques.
8. Cryptography and Cryptanalysis
Explore the principles and practice of cryptography as well as current research topics in cryptanalysis.
9. Microeconomics
Gain an understanding of microeconomic theory principles like supply & demand, utility functions, and market equilibrium.
10. Macroeconomics
Study macroeconomic theory concepts such as national income determination, inflation dynamics, and economic growth models.
11. Game Theory
Learn about strategic decision-making through classic game theory examples like Nash equilibrium and prisoner’s dilemma.
12. Introduction to Algorithms
Develop algorithm design skills by studying topics like divide-and-conquer algorithms, dynamic programming, and graph algorithms.
13. User Interface Design and Implementation
Learn how to create user interfaces that are effective and engaging using design principles and prototyping tools.
14. Computational Thinking & Data Science
Explore data-driven modeling using fundamental statistical tools, machine learning techniques, and data visualization methods.
15. Molecular Biology Fundamentals
Study molecular biology concepts like DNA replication, gene expression, and protein synthesis in this introductory course.
16. Principles of Synthetic Biology
Discover the process of designing and constructing new biological systems and their applications in various industries.
17. Climate Change Science & Policy
Learn about climate change impacts and mitigation strategies while exploring the role of policy development in addressing global warming.
18. Human Rights Law & Practice
Study human rights law principles and their practical application in addressing human rights violations worldwide.
19. Statistical Learning Theory
Understand the principles of statistical learning theory, exploring topics like parameter estimation, supervised learning, and regularization.
20. Decision Analysis
Learn decision theory fundamentals like probability distributions, decision trees, risk analysis, and value of information.
21. Introduction to Aerospace Engineering
Explore the dynamics and control systems involved in rocket propulsion, orbital mechanics, and satellite design.
22. Theory of Computation
Study computation models like Turing machines, finite automata, and languages through concepts such as decidability and complexity classes.
23. Representation Theory
Learn about group representations as a powerful tool with applications in physics, chemistry, and mathematics.
24. Networks
This course covers network theory concepts to understand the structure and behavior of social networks, computer networks, and more.
25. Quantum Field Theory
Delve into advanced quantum mechanics through the study of quantum fields with topics like gauge theories and particle interactions.
26. Operations Management
Learn operations management fundamentals to optimize supply chains, inventory management systems, quality assurance processes, and project management techniques.