Master's Programme in Computational Engineering and Technical Physics
Computation and physics are an integral part of modern society and science.
The challenges of the 21st century are greater and more complex than ever before. We need skilled minds to address those problems and find sustainable solutions.
The Master's Programme in Computational Engineering and Technical Physics responds to this very need – we train future problem solvers who will take on the most pressing challenges of modern civilisation.
Effective computational engineering allows for shorter design cycles, better product quality and improved functionality. Knowledge of physics helps us understand how the world works and appreciate, comprehend and interact better with the environment.
▶️ VIDEO: A head of degree programme and a student tell why to choose this Master's programme (the text continues below the video).
In this Master's Programme, you will acquire extensive knowledge in technical physics, industrial mathematics or intelligent computing and their application to the rapidly changing problems of industrial and economic life. You will learn what is new in data processing and uncertainty quantification, computer vision or material physics. You will solve real-life industrial and socio-economic problems cost-efficiently using computational tools.
You will specialise in material design and optimisation, simulating complex systems and improving their functionality, or in creating algorithms transforming big data into knowledge. These are the skills which you can apply in your future career to find novel solutions to challenges in today's information society. You can specialise in one of three areas: Technomathematics, Computer Vision and Pattern Recognition or Technical Physics.
In Technomathematics, you will study the modelling of industrial and environmental processes, fuzzy systems, and developing mathematical models and methods and their numerical implementation. During your studies, you will focus on real-world applications, collaborating actively in the international community of industrial mathematics.
Computer Vision and Pattern Recognition
In Computer Vision and Pattern Recognition, you will study computational methods for designing and implementing smart information processing systems. You will focus on computer vision, pattern recognition and machine learning, contributing to the current trends in the information society. With those competencies, you will be able to create value-added applications e.g. for health care and well-being, production automation, and data analytics of sensor-based data.
In Technical Physics, your studies will focus on material physics, nanophysics, semiconductors, superconductors, spintronics and optical measurement technologies. LUT physics cooperates extensively with Russian universities and has wide contacts with Finnish and European physics laboratories.
Computational Engineering and Technical Physics
Master of Science in Technology
120 ECTS credits
Tuition Fees and Scholarships
EUR 10 000 Non-EU/EEA students
LUT School of Engineering Science
2 December 2019 − 22 January 2020
at 15:00 (UTC+2)
1 October 2019 − 31 May 2020