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Machine Learning With Big Data

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

Education facts

Code: DVA453

The rapid development of digital technologies and advances in communications have led to gigantic amounts of data with complex structures called ‘Big data’ being produced every day at exponential growth. The aim of this course is to give you insights in fundamental concepts of machine learning with big data as well as recent research trends in the domain. You will learn about problems and industrial challenges through domain-based case studies. Furthermore, you will learn to use tools to develop systems using machine-learning algorithms in big data.

Entry requirements

90 credits of which at least 60 credits in Computer Science or equivalent, including at least 15 credits in programming. 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.

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

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-02-19T13:10:40