Statistical Analysis in Industrial Systems

  • Credits 2.5  credits
  • Education level Second cycle
  • Study location Distance with no obligatory meetings
  • Course code DVA477
  • Main area Computer Science


In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course also presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.

About the 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 also be obtained 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 results of the analysis.

You will learn

  • to understand the common organization of industrial information systems
  • get an overview and understanding of relation database management systems and be able to do SQL queries to extract the data
  • to do relevant data manipulation and visualization for the purpose of explorative data analysis
  • mathematical understanding of the most fundamental concepts of statistics and probability theory.
  • analysis of variance (ANOVA), regression modeling, and applying statistical test to the data
  • how to correctly interpret the results of the statistical analysis.


Below you find the entry requirements for the course. If you do not fulfill the requirements, you can get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etcetera. Read more in Application information below.

Occasions for this course

Autumn semester 2024

  • Autumn semester 2024


    2.5 credits


    2024-10-07 - 2024-12-15 (part time 17%)

    Education level

    Second cycle

    Course type

    Freestanding course

    Application code




    Study location

    Independent of location

    Teaching form

    Distance learning
    Number of mandatory occasions including examination: 0
    Number of other physical occasions: 0

    Course syllabus & literature

    See course plan and literature list (DVA477)

    Specific 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.


    University credits

Questions about the course?

If you have any questions about the course, please contact the Course Coordinator.

Senior Lecturer

Ivan Tomasic



Application information

You’ll find the entry requirements in the course description. After submitting your application, the next step is to submit documentation to demonstrate your eligibility for the course. Most academic credentials from Sweden are retrieved automatically. Wait a few days after submitting your application - if you still can’t see your academic credentials om My pages, please upload them.

If you have studied in another country, you must provide transcripts of your academic studies and of your English proficiency. Exactly what you need to submit and how, depends on several factors. You can read more on universityadmissions.se or antagning.se.

If the course requires work experience, you need to provide an employer’s certificate. You can download a template for employer’s certificate below.

No academic qualifications?

Many courses requires that you have previous academies studies, but we can validate work experience to determine whether you have the qualifications for the course.

If you don’t have the formal qualifications required, please send in a certificate of employment (current or previous) and a CV/Description of competence that describes your educational and professional background. Please include a short description of your work experience, not only the work title.

Use the CV/ Description of competence template below and fill in the information requested.

You can also use our template for Employers certificate if you like.

Download a template for CV/Description of competence Word, 45.5 kB, opens in new window.

Download a template for Employers certificate Word, 38 kB, opens in new window.

If you have any questions regarding eligibility or application please send an e-mail to lifelonglearning@mdu.se