Statistical Analysis in Industrial Systems

Education facts

Code: DVA477

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.

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.

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.

• Statistical Analysis in Industrial Systems

  Mälardalen University

  Start date: 6 October 2025

  End date: 14 December 2025

  Pace of study: 17 %