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Target audience

Professionals of the manufacturing industry who want to improve their theoretical and practical knowledge in quality control and AI based techniques.


The course includes the following modules: Review of quality control techniques; Sensor data
fusion; Introduction to AI and Machine Learning; Supervised and unsupervised learning; Supervised
learning and deep learning project.


Three years of higher education (Bachelor level) in engineering & technology (bachelor’s degree
corresponding to 180CP). Alternatively relevant professional work experience.

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

Course material

Scientific articles together with reports and prepared lectures will be used as the course material. The content will be available in an online learning platform.

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 code



Course registration via University West’s website

For more information, please contact

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