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Course

MIT OCW: Introduction to Probability (6.041/6.431)

Run by MIT OpenCourseWare

OnlineOnline, Self-paced, ~90 hoursOpenLow effort

About this opportunity

MIT's full undergraduate probability course with lecture videos, problem sets, exams, and full solutions. Covers combinatorics, random variables, distributions, transforms, Bayesian inference, and Markov chains at a rigorous level. More mathematically demanding than Khan Academy and suitable for students aiming for NUS/NTU mathematics or engineering.

Who can apply

Anyone with calculus background; advanced JC2 or post-A-Level students

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Updated 14 April 2026