Intended learning outcomes

Mathematics, physics and computing are important tools in the field of technical sciences and engineering.

Good mathematical and computing skills will help you efficiently use modelling and simulation software, and knowledge in the field of physics is a fundamental requirement to fully understand and take further technological phenomena.

By completing this Master's programme you will obtain sufficient mathematical and computational skills for research, industry and other development tasks.

You will

  • be able to apply scientific methods to your work
  • master the advanced knowledge and skills involving your major subject
  • be able to work as experts, developers and researchers
  • understand the fundamentals of your minor subject

Technomathematics graduates will

  • be able to describe systems and processes in the form of mathematical models
  • possess symbolic data analysis and numerical analysis skills for mathematical equations and expressions
  • be able to apply numerous applied mathematics techniques
  • be able to apply statistical theory to study and describe the uncertainty of models and observations
  • be able to use computational software to simulate and visualise models

Computer Vision and Pattern Recognition graduates will

  • be able to analyse challenging information processing problems and solve them algorithmically
  • have strong programming skills to implement information technology solutions. e.g. in data analytics
  • be able to apply intelligent information processing methods to solve information processing problems
  • be able to choose and apply methods of computer vision, machine learning, artificial intelligence and GPU computing
  • understand the importance of science in mathematical modelling and the application of computational methods

Technical Physics graduates will

  • have an advanced knowledge of physics
  • be familiar with the scientific literature and research in the field
  • be able to collaborate internationally with physics researchers
  • master empirical research principles and laboratory practices
  • be able to apply advanced measurement techniques
  • be familiar with modern physics and material science
  • have a knowledge of the application of physics in industry and other sectors of society

Computational Engineering and Technical Physics

Master of Science in Technology

120 ECTS credits

2 years


Tuition Fees and Scholarships
EUR 10 000 Non-EU/EEA students
Scholarships available

Academic unit
LUT School of Engineering Science


Regular Admission
December 2019−January 2020

Rolling Admission
1 October 2019−31 May 2020

Admissions Services