Data-Driven Shipbuilding Course
Data-Driven Shipbuilding Course

In September 2025, Smart European Shipbuilding (SEUS) Project released the pilot of the Data-Driven Shipbuilding learning solution, developed by University of Turku, researchers of industrial engineering and management at the department of Mechanical and Materials Engineering in collaboration with the international SEUS team. The training is now available on the DigiCampus platform. It has been designed initially for practitioners and shipbuilding students. Its aim is to encourage learners to integrate digitalisation and data-driven approaches into their daily work.
Description of the course
The learning solution includes short digital learning modules on data-driven shipbuilding for engineers, designers, supervisors, and managers across the shipbuilding industry. Each participant can explore the modules most relevant to their role and interests. There is no requirement to complete the entire course. By engaging with the modules, learners will increase their awareness of data-driven tools, explore practical working examples, and understand how digitalisation can support greater efficiency and innovation in ship design and construction.
This training has been carefully developed to meet the needs of practitioners. The content was shaped through interviews with professionals, evaluated through subject-matter expert reviews, and refined through repeated testing to ensure relevance and effectiveness.
Access
To access the course, log in to DigiCampus, using your Google account (or a Finnish university account). Search for “SEUS/MOOC: Data-Driven Shipbuilding” in the MOOC platform and enrol using the key: SEUS-Learning.
Feedback
At the end of each module, you will be invited to complete a short survey to share your experiences and suggestions. Your input will directly contribute to further improving the learning material. Upon completing any module, you will also be able to download your personalised certificate of completion.
Contact
Post-doctoral researcher Zeynep Tacgin, zeynep.tacginsimsek@utu.fi
Professor Miia Martinsuo, miia.martinsuo@utu.fi

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