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Business Intelligence

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

Education facts

Code: AMI295

The course provides an introduction to Business Intelligence, analytics and decision support. It shows how problems in business can be solved by collecting business data and converting these into data warehouse form. Data warehousing, together with data integration, extraction and transformation (ETL), will be presented. Data mining tools, such as classification, clustering and association rule, will be covered in the course. There will be study of predictive models, such as neural networks. The course will also cover text analytics such as text mining, sentiment analysis and web mining. Automated decision systems and expert systems will form part of this course. Knowledge management will also be presented.

Entry requirements

Bachelor’s degree in Statistics, Economics, Business Administration, Computer Science, Information Science or Informatics comprising at least 180 credits and English 6/English level 2

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.

  • Business Intelligence

    Dalarna University

    Borlänge

    Start date:

    End date:

    Pace of study: 50 %

Source and updates

Skolverket Susa-navet

Retrieved: .

Published: .

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

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-09-21T13:50:58