Linear Algebra for Data Science
Uppsala University
Uppsala
Start date:
End date:
Pace of study: 33 %
Published education catalogue
Linear Algebra for Data Science
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: 1MA330
This course deepens and expands the knowledge you acquired in the first course in linear algebra. In the course, you will study for example linear spaces, matrices, linear mappings, Euclidean spaces, orthogonality and spectral theory. The course is of central importance for further studies in mathematics, physics and technology.
Entry requirements
120 credits. 20 credits in mathematics including at least 5 credits linear algebra and 5 credits single variable calculus. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Education offerings
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Source and updates
Retrieved: .
Published: .
Show source version
Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-03-09T12:14:23