Computation and physics are an integral part of modern society and science. One cannot overstate the importance of scientific knowledge and computational engineering in the global information society and  industrial economy, particularly as the systems we use grow more and more complex.

Effective computational engineering allows for shorter design cycle times, better product quality and improved functionality. Knowledge of physics helps us appreciate, comprehend and interact better with the environment.

In this Master’s Program you will acquire extensive knowledge either in technical physics, mathematics or computing and their application to the rapidly changing problems of industrial and economic life.

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 specialize in one of the three areas – TechnomathematicsComputer Vision and Pattern Recognition or Technical Physics.

  • Key facts
    Degree: Master of Science in Technology
    Extent of studies: 120 credits
    Duration: 2 academic years
    Studies begin: September
    Language of instruction English
  • Objective

    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 modeling 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 program 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

    In addition…

    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 visualize 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
  • Structure

    The program includes core studies, specialization studies, minor studies, language studies and elective studies.

    Core studies (7 – 14 ECTS credits) include courses on technical computing, design of experiments and research methods.

    Specialization studies (70 – 74 ECTS credits). You can study one of the three specializations in this Master’ program: Technomathematics, Computer Vision and Pattern Recognition or Technical Physics.

    • Technomathematics include studies on topics such as modeling and simulation systems, financial models, risk analysis and decision support systems, and intelligent data analysis.
    • Computer Vision and Pattern Recognition include studies on topics such as digital imaging, image processing and analysis, pattern recognition, and machine and computer vision.
    • Technical Physics include studies on topics such as material physics, nanophysics, applied optics, and microelectronics.

    Minor studies (20 ECTS credits) can be selected from any minors offered by LUT.

    Elective studies (15 –  20 ECTS credits) can be selected from any disciplines at LUT.

    The Master’s thesis and seminar, 30 ECTS credits, is a part of specialization studies. The thesis an advanced research project, which requires approximately six months of full-time work. It is completed during the fourth semester of the degree program.

    Double degree studies for students from partner universities

    Students from partner universities are able to study as a double degree student at LUT. Students admitted to the double degree program receive a degree certificate from two universities after they have fulfilled the degree requirements of both universities.

    Computational Engineering and Technical Physics program’s double degree partner universities are:

    • Moscow Power Engineering Institute, Russia
    • Peter the Great St. Petersburg Polytechnical University, Russia
    • Petrozavodsk State University, Russia
    • South Ural State University, Russia
    • Southern Federal University, Russia
    • St. Petersburg Electrotechnical University, Russia
    • St. Petersburg University of Information Technologies, Mechanics and Optics, Russia
    • St. Petersburg State University, Faculty of Physics, Russia
    • National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
  • Career opportunities

    After completing the studies, you will be able to pursue different careers in industry, science and research.

    You will have career prospects in such areas as the development of information processing systems, project planning and management in ICT companies.

    The employment rate for computational engineering graduates has consistently been high – in addition to engineering positions, computational engineering experts are needed in bioscience, medicine, environmental protection, meteorology, digital media production, and gaming.

    Employees are needed especially for research, development, expert, and design duties. The work may entail e.g. product and process development, equipment and software design, setting up new technologies, and applying computational models.

    Jobs have also been created through spin-off companies and close cooperation with industries.

    Jobs for computational engineering graduates include

    • Weather and climate analyst
    • Project manager in an ICT company
    • Developer of simulation models in a wind power company
    • Designer of machine vision systems
    • Mobile technology developer in a telecommunications company
    • Materials developer for a solar cell company
    • Risk analyst in financing
    • Actuary in an insurance company
    • Researcher in a Finnish or foreign university or research institute

    Computational engineering graduates are in demand. The wide-ranging degree fits a number of jobs, and graduates are often recruited straight from university.

    LUT graduates have been employed e.g. by companies such as Rovio, Bintec, TuuliSaimaa, Vionice, PintaWorks, Nokia, Eniram, also by insurance companies and shared ICT services of government agencies.

  • GMAT/ GRE minimum scores

    Applicants for this program need to submit one of the following test results with the required minimum scores:

    (1) GRE Physics:

    Scaled score 560

    OR

    (2) GRE Physics:

    Verbal Reasoning 140

    Quantitative Reasoning 147

    Analytical Writing 3.0

    OR

    (3) GRE Mathematics:

    Scaled score 560

    OR

    (4) GRE Physics:

    Verbal Reasoning 140

    Quantitative Reasoning 147

    Analytical Writing 3.0

    For more information of required documents, please go to the university page.

Quick facts

Semester start:
September

Application period:
November 1, 2018 – May 31, 2019

Apply

Tuition fee:
10,000€ / year

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