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The course aims to support and facilitate our partner manufacturing companies to become competitive in digitally-enabled production. During the course, we address the potential prerequisites and capabilities required for implementing industry 4.0 in the context of an overall production system. More specifically, we increase the competence base of companies in three areas—internal logistics systems, virtual factory, and sensor and signal processing—which can holistically interconnect the key components for the successful implementation of industry 4.0.

This course consists of three interconnected course modules at an advanced level and it is offered between September and December 2021:

KIT Relation between three courses. Illustration

Benefits to companies

  • Course covers the holistic perspective of industry 4.0 implementation including overall plant level, production cell level, component and system level, and describes how to interconnect them in an efficient way.
  • Course gives a possibility for industrial practitioners to work on real industrial cases from their own companies with the expert supervision from three universities.
  • Course supports theory and practical elaboration through laboratory works, experiments, and onsite seminars.
  • Course gives access to experts in each area, which are complimentary to address the complex challenges in industry 4.0 implementation.
  • Course facilitates access to larger industrial network and possibility to exchange ideas and experiences within the network.
  • A possibility to continue with the optional course, 2,5 credits, after the end of 7,5 credits if one like to conduct a business case on industry 4.0 within their company.

Course schedule


KIT Course structure. Illustration


Undergraduate degree in Engineering (180 credits) or equivalent.

Attach resume if your application is based on work experience. A template (in Swedish) is available at our website

Implementation and pedagogic concept

The course is based on University West’s concept of work integrated learning, which aims at integrating both theory and practice in education. Theoretical lectures are combined with case studies and practical examples.

The course format (campus or distance) can vary. The form is stated when the course being announced. The current courses can be found here.


Course registration via University West’s website

For more information, please contact

This course is a collaboration between University West, Linnaeus University and Mälardalen University. The course consists of three interconnected course modules - Introduction to Machine Learning, Industry digitalisation - aspects of Industry 4.0 and Applied Machine Learning - whereof one introductory module is on basic level and the last two modules are on advanced level.


Kristina Eriksson

Kristina Eriksson Universitetslektor Docent / Associate Professor in Production Systems

Mikael Ericsson

Mikael Ericsson Avdelningschef, tf
Senast uppdaterad