Degree: Computational Engineering and Technical Physics (LaDCETP_EM)
Period: 2020-2021

Learning outcomes:

After the completion of the MSc programme in Computational Engineering and Technical Physics the student will obtain sufficient mathematical and computational skills for industry and other research and development tasks.

The students will

  • be able to apply scientific methods to work
  • master the advanced knowledge and skills involving major subject
  • be able to work as experts, developers and researchers in the areas focusing on sustainable development
  • understand the fundamentals of minor subject

In addition, Technomathematics graduates will

  • be able to construct deterministic and statistical models of systems and processes
  • understand analytical properties of the models
  • be able to make numerical approximations and computational implementations of the models
  • be able to estimate model parameters and their uncertainty
  • understand data-driven and data-centric engineering
  • be able to understand analysis results and their validity
  • be able to apply the methods and models to engineering, finance and science

In addition, 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

In addition, Computer Vision and Pattern Recognition graduates will

  • be able to analyse challenging information processing problems and solve them with computational methods
  • have strong programming skills to implement algorithms for the computational methods
  • be able to apply modern information processing approaches to enable solutions for information technology
  • be able to choose, modify and apply methods of computer vision, machine learning and artificial intelligence
  • understand the importance of the scientific method including mathematical modelling and method applicability



  • Degree Master of Science in Technology (M.Sc. Tech.), (Diplomi-insinööri in Finnish)
  • Higher university degree, gives eligibility to apply for scientific doctoral studies
  • Extent 120 ECTS credits
  • Duration two years, full-time studies of 60 ECTS per academic year.

Degree Structure

The Master's degree (120 ECTS) consists of core studies, advanced specialisation studies in Technomathematics, Technical Physics or Computer Vision and Pattern Recognition, minor studies and elective studies. The Master's Thesis and Seminar is included in the advanced specialisation studies.

Students are instructed to choose one of the following minor studies to their MSc degree:
- Renewable Energy and Energy Efficiency (SaDREE)
- Industrial Engineering and Management (TuDSOIEM) or Tuotantotalous, laaja (TuDSO)
- Software Engineering and Digital Transformation minor (TiDSOsedt)
- International Business Management (KaSOIbm)
- Digitalization and Business Analytics (KaSOBusan) (primarily for LBM-students and if courses have room for other students, computational engineering students are next in line)

Students may do the minor during exchange abroad (upon application).

Elective studies can be any courses offered by LUT if the required prerequisites are fulfilled. Studies in other universities/from abroad or a max. of 10 ECTS of internship may be included upon application, too.

Specialisation studies81,00
Minor studies20,00
Elective studies0,00