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Machine Learning for Industry 4.0. Illustration.


The emergence of artificial intelligence has created a new opportunity to apply machine learning (ML) in industry 4.0.

In this era of the Internet of Things and Big data, processing of a large amount of data would not be possible without ML. Thus, ML made industrial production smarter than ever before. So, learn the course “Machine learning for Industry 4,0” to bring in new business models in your company and boost productivity using ML.

The course provides knowledge about basics of ML and data, describes ML algorithms and tools and also explains the concept of Industry 4.0 and digitalization in industry 4.0.The individual processes can be better understood and optimized with the help of the knowledge from the course.

Also, it could have an important contribution in analysing the industrial data set, improving results, and making decision and/or predictions for failure, demand, sales, and production.

Kursupplägg av kursen Machine Learning for Industry 4.0. Illustration.


The basic eligibility for this course is a Bachelor degree in technology (180 hp). Candidates with relevant work experience are also invited to apply. Two years of relevant work experience is considered equivalent to one year of university studies at the Bachelor level.

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

Sudha Ramasamy

Sudha Ramasamy Universitetslektor

Ingrid Elison

Ingrid Elison Universitetsadjunkt
Senast uppdaterad