Intended learning outcomes

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

Good mathematical and computing skills will help you use modelling and simulation software efficiently, and knowledge of physics is a fundamental requirement to fully understand and further develop 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
  • possess advanced knowledge and skills involving your major subject
  • be able to work as an expert, developer and researcher
  • understand the fundamentals of your minor subject
  • obtain a sound basis for further postgraduate studies.

Technomathematics graduates will:

  • possess symbolic data analysis and numerical analysis skills for mathematical equations and expressions
  • be able to build mathematical models describing systems and processes
  • be able to implement and solve the models numerically
  • be able to apply statistical theory to study and describe the uncertainty of models and observations
  • be able to interpret analysis results and give recommendations based on them
  • 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 solutions in practice;
  • be able to apply intelligent information processing methods in problem solving, e.g. in data analytics;
  • be able to choose and apply methods of computer vision, machine learning, artificial intelligence and GPU computing;
  • understand the importance of science and mathematics in modelling and applying 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 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

Start date


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

Academic unit
LUT School of Engineering Science


Next regular admission
December 2020 − January 2021

Rolling admission
1 October 2019 − 31 May 2020

Admissions Services