Predictive Data Analytics
Mälardalen University
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End date:
Pace of study: 25 %
Published education catalogue
Education information from the published source. The education record and its time-bound offerings are kept separate.
Code: DVA478
The course will give insights in fundamental concepts of machine learning and actionable forecasting using predictive analytics. It will cover the key concepts to extract useful information and knowledge from big data sets for analytical modeling
90 credits of which at least 60 credits in Computer Science or equivalent, including 15 credits in programming as well as 2,5 credits in basic probability theory and 2,5 credits in linear algebra, or equivalent. In addition Swedish course 3 or Swedish level 3 and English course 6 or English level 2 are required. For courses given entirely in English exemption is made from the requirement in Swedish course 3 or Swedish level 3.
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Mälardalen University
Start date:
End date:
Pace of study: 25 %
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Published: .
Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-02-19T13:10:40