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Imperial College London

The 'Mathematics for Machine Learning Specialization' by Imperial College London on Coursera is a beginner-level, three-course program bridging the gap between underlying mathematics and their application in data science. Instructed by David Dye and others, the curriculum covers linear algebra, multivariate calculus, and dimensionality reduction with Principal Component Analysis (PCA). Students learn to relate vectors, matrices, and gradients to machine learning, implementing concepts in Python using interactive Jupyter notebooks. The self-paced program features mini-projects like calculating page rank and training a neural network. Earning the shareable career certificate requires completing all courses. Overview: 4 weeks at 10 hours a week. FAQ: 3/4 hours a week for 3 to 4 months. These are separate provider estimates.

Facts checked 29 September 2026 against Imperial College London’s official page ·
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· Next check October 2026

Available programs (1)

Mathematics for Machine Learning Specialization

Duration
Overview: 4 weeks at 10 hours a week. FAQ: 3/4 hours a week for 3 to 4 months. These are separate provider estimates;no combined completion promise is inferred.
Level
Beginner level
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
High school maths knowledge is required. Basic knowledge of Python can come in handy, but it is not necessary for courses 1 and 2. For course 3 (intermediate difficulty) you will need basic Python and numpy knowledge to get through the assignments.
Facts checked 29 September 2026 against Imperial College London’s official page ·
Sources ↗
· Next check October 2026

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