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    P.O. Box 20
    FI-53851 Lappeenranta

    Visiting address:
    Skinnarilankatu 34
    53850 Lappeenranta

    Tel. +358 294 462 111

    LUT Computational Engineering LUT Computational Engineering

    Computational Engineering and Technical Physics is a part of the LUT School of Engineering Science. The competence areas of Computational Engineering and Technical Physics are Mathematics, Physics and Machine Vision and Pattern Recognition (MVPR). Areas of research at the Computational Engineering and Physics include applied mathematics, machine vision and pattern recognition, various topics of material and computational physics as well as optics. Computational Engineering and Technical Physics develops algorithms for data-driven problems, with applications in industry, business analytics, remote sensing and large-scale data-assimilation problems.

    The degree programme in Computational Engineering has a Bachelor's programme (taught in Finnish) and two Master's programmes aimed at both Finnish and international students, Computational Engineering and Technical Physics and Business Analytics. Master´s programmes are worth 120 credits and lead to a Master of Science in Technology degree. Master´s programme in Computational Engineering and Technical Physics has three alternative advanced specialisation studies, Technomathematics, Technical Physics and Computer Vision and Pattern Recognition.

    After having completed master´s studies, students will have career prospects in such areas as the development of information processing systems, project planning and management in ICT companies.

    The employment rate for computational engineering graduates has consistently been high - in addition to engineering positions, computational engineering experts are needed in bioscience, medicine, environmental protection, meteorology, digital media production, and gaming. Graduates are often recruited straight from university.

    The work in research, development and design may entail e.g. product and process development, equipment and software design, setting up new technologies, and applying computational models. Jobs have also been created through spin-off companies and close cooperation with industries.

    Starting from academic year 2020-2021 study guides are published in SISU.