Multivariate Data Analysis in Engineering

  • Credits 7.5  credits
  • Education ordinance Second cycle
  • Study location Distance with no obligatory meetings
  • Course code MTK337
  • Main area Environmental Engineering

The application of multivariate data analysis methods and a tremendous increase in available computational power have opened great opportunities to address present and future engineering challenges.
If you want to learn how the modern multivariate data analysis, including artificial intelligence (AI) and machine learning algorithms, can be used to address engineering challenges - then this course is for you.
The course will provide you with the essential knowledge that enhances your capabilities to solve complex engineering problems, within fields such as waste management, energy, agriculture, water management, weather forecasting - and thereby contributing to sustainable development.

Occasions for this course

Autumn semester 2021

  • Autumn semester 2021


    7.5 credits


    2021-08-30 - 2021-11-07 (part time 50%)

    Education ordinance

    Second cycle

    Course type


    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 (MTK337)

    Specific requirements

    120 credits of which 90 credits engineering and/or natural science, and 7.5 credits mathematics.
    In addition Swedish course B/Swedish course 3 and English course B/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.

Associate Senior Lecturer

Jan Skvaril



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