Deep Learning in Finance
Umeå University
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Deep Learning in Finance
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: 5MA228
The published source does not provide a description.
Entry requirements
The course requires 90 ECTS, including at least 7.5 ECTS in linear algebra, and a course at advanced level in financial mathematics (at least 7.5 ECTS) in which Itô calculus is covered. Proficiency in English equivalent to the level required for basic eligibility for higher studies. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
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
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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2025-12-11T08:04:31