MIT Online Course on Computer Science and Programming Using Python

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Massachusetts Institute of Technology (MIT) is offering free online course on Computer Science and Programming Using Python. This subject is aimed at students with little or no programming experience.

This nine-week computer science course provides an introduction to computer science as a tool to solve real-world analytical problems. The course will start on August 30, 2016.

Course At A Glance

Length: 9 weeks
Effort: 15 hours pw
Subject: Computer Science
Institution: Massachusetts Institute of Technology (MIT) and edx
Languages: English
Price: Free
Certificate Available: Yes, Add a Verified Certificate for $49
Session: Starts on August 30, 2016

Providers' Details

Massachusetts Institute of Technology — a coeducational, privately endowed research university founded in 1861 — is dedicated to advancing knowledge and educating students in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century. Learn more about MIT. Through MITx, the Institute furthers its commitment to improving education worldwide.

About This Course

This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many, it will be their first and last computer science courses.

Why Take This Course?

This is a free online course. This MOOC will be offered with Video Transcripts in English. Applicants can get a verified certificate.

Learning Outcomes

  • A Notion of computation
  • The Python programming language
  • Some simple algorithms
  • Testing and debugging
  • An informal introduction to algorithmic complexity
  • Data structures


Eric Grimson

Eric L. Grimson is a Professor of Computer Science and Engineering, and the Bernard M. Gordon Professor of Medical Engineering.

John Guttag

Professor Guttag is the Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT.

Ana Bell

Ana Bell is a lecturer in the Computer Science and Electrical Engineering Department at MIT.


High school algebra and a reasonable aptitude for mathematics. Students without prior programming background will find there is a steep learning curve and may have to put in more than the estimated time effort.

How To Join This Course

  • Go to the course website link
  • Create an edX account to SignUp
  • Choose “Register Now” to get started.
  • EdX offers honor code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
  • Once applicant sign up for a course and activate their account, click on the Log In button on the homepage and type in their email address and edX password. This will take them to the dashboard, with access to each of their active courses. (Before a course begins, it will be listed on their dashboard but will not yet have a “view course” option.)

Apply Now

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