Digital twin and industry 4.0 – course

Industry 4.0, the fourth industrial revolution, is characterised by smart factories and automation where machines communicate and interact with each other. Digital twins play a central role in this paradigm shift, as they allow seamless integration between the physical and digital world. This enables monitoring, prediction and improvement of production processes, as well as streamlining product development and prototyping.

Learning outcomes

By taking this course, students will… 

  • Basic principles behind digital twins and its relationship with Industry 4.0.
  • Technologies and tools to create, manage and optimise digital twins.
  • The application of digital twins in product development, monitoring, and maintenance.
  • Case studies where digital twins have been successfully implemented in the industrial sector.

The course will also cover the ethical and security aspects of the use of digital twins, as well as the challenges and obstacles that may arise from implementation.

By combining theoretical concepts with practical tools and methods, students will be prepared to actively contribute to the transition towards a more digitalised and automated production environment. At the end of the course, students will have the ability to independently develop and implement digital twins in different industrial contexts, as well as understand their role and potential in the emerging Industry 4.0-eranan.


It is taught in English and remotely


Stand-alone course, 5 credits


To be admitted to the course, the student must have completed at least 180 credits, of which 90 hp should be in the subjects of mechanical engineering, industrial economics and management or other related technical disciplines.

Tuition fee

The training is free of charge for students with citizenship within the EU/EEA and Switzerland. Information for British citizens linked to Brexit can be found on the university website.

  • University credits: 7,5 HP
  • Level: Basic level
  • Study file: Distance, mixed teaching time, part-time 33 %
  • Teaching time: 2024 week 03 to 2024 week 12
  • Type of teaching: Distance

Find out more about the training here

Training offer Information

Website link
Target audience
Digital skills for ICT professionals and other digital experts.
Digital skills in education.
Digital technology / specialisation
Machine Learning
Digital skills
Digital skill level
Digital Expert
Geographic Scope - Country
Industry - Field of Education and Training
Information and Communication Technologies (ICTs) not further defined
Target language
Type of initiative
National initiative
Target group
Persons who have completed secondary/compulsory education
Typology of training opportunities
Learning activity
e-learning coursework
Assessment type
Training duration
Up to 3 months
Is this course free
Is the certificate/credential free
Type of training record
Single offer
Part time light
Credential offered
Learning activity
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