Smart Maintenance

Education facts

Code: SMU600

**Explore the Future of Manufacturing Systems and Smart Maintenance** This course provides you with fundamental knowledge in manufacturing systems and maintenance, as well as an introduction to smart maintenance. You will learn how machine learning (ML) can be used to predict maintenance needs, which can improve efficiency and reduce downtime in manufacturing processes. The course also covers the development and optimization of ML models, giving you practical skills that are valuable in today's industry. **Industry and academy** This course has been developed in collaboration with industry partners within the framework of one of our educational projects. The project aims to provide courses at advanced level to a mix of professionals and students to strengthen the Swedish industry's competitiveness. We apply a validation of work experience, which means we can assess your competence based on both formal credentials and work experience. Even if you don't have formal qualifications, such as grades or diplomas, you may have the knowledge that meets the eligibility requirements for the course. To enable us to validate, attach your resume under the "Qualifications" tab on antagning.se or in our local application form when you apply. The template is found on our website [www.hv.se/produktionskurser](<https://www.hv.se/link/6370bd6f4ebf487e9ee1d9f59795bc53.aspx>).

Entry requirements

Passed courses of 90 HE credits within the field of technology with at least 15 HE credits on level 61-90 HE credits or equivalent. Approved courses equivalent to 2.5 credits in machine learning and AI.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Smart Maintenance

  University West

  TROLLHÄTTAN

  Start date: 5 October 2026

  End date: 15 November 2026

  Pace of study: 30 %