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Published education catalogue

Master in Mechanical Engineering - Specialization Data-driven Mechanical Engineering

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: TAMDD

The Master’s programme in Data-Driven Mechanical Engineering offers a unique blend of mechanical engineering and data science, preparing students to tackle modern engineering challenges using computational tools, machine learning, and simulation technologies. The programme is designed for students with a background in mechanical engineering, materials science, or related fields who want to deepen their expertise in digital and data-driven methods.

Entry requirements

Bachelor's degree in mechanical engineering or comparable, including at least 75 ECTS credits in mechanical engineering or materials engineering. Applicants must also have: - At least 22.5 ECTS credits in mathematics - At least 7.5 ECTS credits in programming or data processing - At least 7.5 ECTS credits in solid mechanics - At least 7.5 ECTS credits in materials engineering - At least 7.5 ECTS credits in production systems or mechanical design. English B / English 6 or equivalent is also required.

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.

Source and updates

Skolverket Susa-navet

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Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-02-23T15:01:21