6 at Massachusetts Institute of Technology

Intro sequences

The shortest canonical route from each entry point to a gateway course.

• 1. 6.100AIntroduction to Computer Science Programming in Python
  2. 6.100BIntroduction to Computational Thinking and Data Science
• 1. 6.3700Introduction to Probability
  2. 18.05Introduction to Probability and Statistics
  3. 18.600Probability and Random Variables
  4. 6.100AIntroduction to Computer Science Programming in Python
  5. 6.1200[J] Mathematics for Computer Science
  6. 6.120ADiscrete Mathematics and Proof for Computer Science
  7. 6.3800Introduction to Inference
  8. 6.1210Introduction to Algorithms
• 1. 6.3800Introduction to Inference
  2. 18.05Introduction to Probability and Statistics
  3. 18.600Probability and Random Variables
• 1. 6.1200[J] Mathematics for Computer Science
  2. 18.05Introduction to Probability and Statistics
  3. 18.600Probability and Random Variables

Gateway courses

Each of these unlocks the largest share of downstream work on this map. Courses from other departments can appear here when they genuinely gate 6 coursework.

• 6.100BIntroduction to Computational Thinking and Data Scienceopens 66 courses (11 directly)
• 6.1210Introduction to Algorithmsopens 54 courses (19 directly)
• 6.1010Fundamentals of Programmingopens 47 courses (14 directly)
• 6.3000Signal Processingopens 35 courses (24 directly)
• 6.1910Computation Structuresopens 35 courses (19 directly)
• 6.3900Introduction to Machine Learningopens 21 courses (18 directly)

The map

Intro tiers at the top, advanced work below; arrows point from a prerequisite to the course it unlocks. Courses from other departments appear where they gate 6 work. Click any course to see what it requires and unlocks without leaving this page; hovering lights up its neighbors. The lists on this page carry the same courses in text form.

Showing the 302 6 and feeder courses that have prerequisite links. 184 more 6 courses have no recorded prerequisites. They are listed under Tracks below, not drawn as loose dots here.

Tracks

Upper-level clusters, grouped by the gateway that opens them.

The longest ladders

The deepest prerequisite chains in 6. These are the routes that take the most semesters to climb.

• 7 courses deep, ending at 6.8410

  1. 6.100AIntroduction to Computer Science Programming in Python
  2. 6.100BIntroduction to Computational Thinking and Data Science
  3. 6.1010Fundamentals of Programming
  4. 6.3900Introduction to Machine Learning
  5. 6.7960Deep Learning
  6. 6.8300Advances in Computer Vision
  7. 6.8410Shape Analysis

• 7 courses deep, ending at 6.8850

  1. 6.100AIntroduction to Computer Science Programming in Python
  2. 6.100BIntroduction to Computational Thinking and Data Science
  3. 6.1010Fundamentals of Programming

• 6 courses deep, ending at 6.5060

  1. 6.100AIntroduction to Computer Science Programming in Python
  2. 6.100BIntroduction to Computational Thinking and Data Science
  3. 6.1010Fundamentals of Programming

• 6 courses deep, ending at 6.5110

  1. 6.100AIntroduction to Computer Science Programming in Python
  2. 6.100BIntroduction to Computational Thinking and Data Science
  3. 6.1010Fundamentals of Programming

Grade medians

Professors

No section schedule with instructor names for 6 yet.

Clubs & organizations

No clubs or organizations on record under 6 yet.

Clubs students here join

Department events

6 does not run a page here yet. When it does, its events show up here and on the MIT campus feed.