Visualization for Industrial Applications

  • Credits 5 credits
  • Study location Eskilstuna
  • $stringTranslations.StartDate 2021-01-18 - 2021-03-28 (part time 33%)
  • Education ordinance Second cycle
  • Course code PPU453
  • Main area Product and Process Development

By taking part in this course you will learn about the role of visualization in industrial applications with a specific focus on Industry 4.0. You will learn how to evaluate and develop production systems and processes that integrate visualization technologies, such as digital twins, virtual and augmented reality and are supported by artificial intelligence.

In this course, you will gain insights into digital technologies for industrial visualization, and their application in various real-world domains in the context of Industry 4.0. Specifically, you will gain an understanding of when industrial visualization, using technologies such as digital twins, virtual and augmented reality, or artificial intelligence, may be a good solution in the development of production systems and processes.

The course is given online with no physical meetings during the spring semester 2021.

Kursblad Visualization of industrial applications

Download short description: Visualization for Industrial Applications PDFPDF

You will learn to

  • Evaluate technologies for industrial visualization such as digital twins, virtual and augmented reality, and artificial intelligence.
  • Show understanding for how to develop production systems that include digital technologies for industrial visualization.
  • Describe how to design and implement production processes which include industrial visualization.

Entry requirements

40 credits in Engineering/Technology and at least two years’ experience in full-time employment in a relevant area within industry.

In addition, English course A/English course 6 is required. You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc.


The course is given in the spring semester. Application opens mid-September.

Apply to the course

Visualization for Industrial Applications

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Course syllabus

You can read in detail about the course, it's content and literature and so on in the course syllabus

See course syllabus

Application information

After submitting your electronic application, the next step is to submit documentation to demonstrate your eligibility for the course you have applied for. In order to document your eligibility, you must provide your high school diploma and university transcript and proof of your English language proficiency.

Entry requirements

To meet the entry requirements for this course you need to have previous academic qualifications (university studies). You will find the specific entry requirements above.

No academic qualifications?

If you do not have the formal academic qualifications needed for a specific course, you can apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc. This is also known as a validation of prior learning.

Recognition of prior learning means the mapping out and assessment of an individual's competence and qualifications, regardless how, where or when they were acquired – in the formal education system or in some other way in Sweden or abroad, just recently or a long time ago.

If you think your knowledge and competences will qualify you for this course, you will need to upload th following with your application:

  • CV with description of your educational and professional background. Your CV must describe your knowledge and competences in relation to the entry requirements.
  • If you refer to work experience, you need to upload an Employers certificate.

If we need more information, we will contact you.


The course is part of the Premium project in which MDH offers courses aimed at giving the industry the competence needed for sustainable and smart production.

For companies that want to collaborate on competence development
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