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Dalarna University
Business Intelligence: Master Programme
The Business Intelligence (BI) Programme provides students with an intensive and broad education in data analysis, information modelling and decision-making, which are key components in the so-called BI chain. The programme integrates the most important components from Microdata Analysis with knowledge about the ana…
- Higher education
- Information unavailable
- 1 September 2025
- Information unavailable
- Information unavailable
- 100 %
Overview
The Business Intelligence (BI) Programme provides students with an intensive and broad education in data analysis, information modelling and decision-making, which are key components in the so-called BI chain. The programme integrates the most important components from Microdata Analysis with knowledge about the analysis of information systems using statistical principles. The design aims to develop the ability of students to meet increasing global challenges in their careers and to give them competence and capacity from advanced data analysis research to enterprise management. In the programme, students take courses relating to BI and Big Data. Students receive training in the analysis of business data using both statistical methods and computer methods in a BI context. Furthermore, the programme addresses issues relating to data collection and data quality. By the end of the programme, students will have taken courses on how different types of BI technologies can be used in organisations. The programme comprises courses that teach students practical skills in how to collect, store, and analyse data. In the second semester, students write their Master’s thesis. The semester begins with students formulating a basic outline for their thesis work. In the plan, a problem is identified and a research outcome is formulated. The plan must describe how the problem is to be solved and what material the work will be based on, as well as how access to this can be assured. In addition, the plan outlines what the student needs to learn to be able to complete the thesis. The plan is presented to a supervisory group. Students complete their thesis in the second semester. The thesis work can be methodological in nature and contribute to the development of methods and techniques within the field of microdata analysis. It can also be practical in nature and aim to strengthen the BI chain of an organisation or improve it in some form.
Admission scores
Entry requirements
Bachelor’s degree in Statistics, Economics, Business Administration, Computer Science, Information Science or Informatics comprising at least 180 credits and English 6
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2025-09-01
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hda.dbima.h3ld3.20252
- Last checked
- 2026-09-23T10:37:17.717722+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
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- Programme or course starts
- Programme or course ends
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.hda.dbima.h3ld3.20252
- Offering identity in the source
- e.uoh.hda.dbima.h3ld3.20252
- Education-form source code
- HS
- Education code in the source
- DBIMA
- Change time according to the source
- 2025-05-05T08:10:07
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.