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Published education catalogue

Advanced Machine Learning

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: DA633E

The purpose of the course is for the student to acquire in-depth knowledge and understanding of advanced aspects of machine learning and familiarise him or herself with recent developments in this field.

Entry requirements

1. Bachelor of Science (at least 180 higher education credits) in computer science or related subjects such as mathematics, informatics, telecommunications, electrical engineering, physics. 2. Knowledge equivalent to English 6 at Swedish upper secondary level. 3. At least 15 credits in programming. 4. At least 7.5 credits in mathematics. 5. Passing grade in the course *Statistical methods for Data Science* *(MA660E)* Participation in the course also requires knowledge obtained from the course *Artificial intelligence for Data Science* *(DA631E).*

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

Skolverket Susa-navet

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Published: .

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2025-08-28T14:57:24