This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Mälardalen University
Statistical Analysis in Industrial Systems
About this course In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course first presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.An overview of the most popular statistical tools…
- Higher education
- Information unavailable
- 6 October 2025
- Information unavailable
- Information unavailable
- 17 %
Overview
About this course In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course first presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.An overview of the most popular statistical tools will be given. We will focus on the most powerful tool for the statistical data analysis called R, where you will learn how to use regression and ANOVA models for industrial data. Elements of probability theory and mathematical statistics will be provided as needed. Modern industrial plants and environments measure and store all relevant production variables. In addition to observation, the data can be obtained also by experimentation. The course provides fundamental elements of applied statistical analysis that can be used to analyse and model the data obtained from industrial plants, as well as elements of probability theory and mathematical statistics needed for a deeper understanding of methods and a reliable interpretation of the analysis' results.
Admission scores
Entry requirements
90 credits of which at least 60 credits within natural science or engineering, including 7.5 credits in Single Variable Calculus. The mathematics shall include knowledge of elementary calculus: integrals, derivations, series, and sums. In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
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
- 2025-10-06
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.mdu.dva477.24545.20252
- Last checked
- 2026-09-23T10:38:46.21657+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
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
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.mdu.dva477.24545.20252
- Offering identity in the source
- e.uoh.mdu.dva477.24545.20252
- Education-form source code
- HS
- Education code in the source
- DVA477
- Change time according to the source
- 2025-03-14T10:56:35
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.