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Objectives

      • Learn what’s new in data processing and uncertainty quantification, computer vision or material physics
      • Solve real-life industrial and socio-economic problems cost-efficiently using computational tools
      • Specialise in material design and optimisation, simulating complex- systems and improving their functionality, or in creating algorithms transforming big data into knowledge.

      Programme content

      • Core studies, 7-12 ECTS credits: technical computing, research methods
      • Specialisation studies in one of three fields, 74 ECTS credits:

      Techno mathematics: modelling and simulation systems, intelligent data analysis and uncertainty quantification, risk analysis and decision support systems

      Computer Vision and Pattern Recognition: Pattern recognition and data analytics, digital imaging, image processing, and analysis, computer vision and machine vision

      Technical Physics: material physics, nanophysics, applied optics, microelectronics, and optoelectronics

       

      The specialisation studies include a Master s thesis and seminar,

      30 ECTS credits

       

      • Minor studies, 20 ECTS credits: recommended minor studies are industrial engineering and management, international business management, software engineering and digital transformation, digitalisation and business analytics, renewable energy and energy efficiency
      • Elective studies, 14-19 ECTS credits: select from any disciplines at LUTIncluding business and management studies

      https://www.youtube.com/watch?v=V0tKdTLREtE

      More aboutthe programme, learning outcomes, career prospects and admission at

      lut.fi/cetp.
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