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.
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.
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.
- 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 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.
Degree structure and studies
The Master's Programme in Computational Engineering and Technical Physics is a two-year programme. It leads to the degree of Master of Science in Technology, M.Sc. (Tech.), which is 120 ECTS credits.
The programme includes core, specialisation, minor, language and elective studies.
Core studies (7-12 ECTS credits) include courses on technical computing, the design of experiments and research methods.
Specialisation studies (74 ECTS credits) are divided into three alternative fields: Technomathematics, Computer Vision and Pattern Recognition, or Technical Physics.
- Technomathematics includes topics such as modelling and simulation systems, financial models, risk analysis and decision support systems, and intelligent data analysis.
- Computer Vision and Pattern Recognition includes topics such as digital imaging, image processing and analysis, pattern recognition, and machine and computer vision.
- Technical Physics includes topics such as material physics, nanophysics, applied optics, and microelectronics.
Minor studies (minimum of 20 ECTS credits) may deal with subjects such as renewable energy and energy efficiency, industrial engineering and management, software engineering and digital transformation, international business management, digitalisation and business analytics.
Elective studies (20 ECTS credits) can be selected from any disciplines at LUT.
The Master's thesis, 30 ECTS credits, is a part of specialisation studies. The thesis is an advanced research project, which requires approximately six months of full-time work. Students complete it during their fourth semester.
Double degree studies for students from partner universities
Students from partner universities are able to study as double degree students at LUT. Students admitted to the double degree programme receive a degree certificate from two universities after they have fulfilled the degree requirements of both universities.
The Computational Engineering and Technical Physics programme'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
After graduation, 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 of 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 positions. 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:
- Data scientist in any organisation handling data
- Designer of wind farms
- Weather and climate analyst
- Project manager in an ICT company
- Developer of simulation models in a wind power company
- Designer of machine vision systems
- 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 by companies such as Rovio, Bintec, Finnos, SyncronTech, TuuliSaimaa, Vionice, PintaWorks, Nokia, Eniram, and insurance companies and shared ICT services of government agencies.
How to Apply
Interested in applying to the Master's Programme in Computational Engineering and Technical Physics?
Make one of the most important decisions for your future and study with us – we promise you to make your investment worthwhile.
Every year there is a great number of students from all over the world starting their studies at LUT University.
Be curious. Be one of us.
You can apply to this Master's programme through either the rolling or the regular admission process:
- Regular admission: 2 December 2019-22 January 2020
- Rolling admission: 1 October 2019-31 May 2020
About the School
LUT University is a pioneering science university in Finland, bringing together the fields of science and business since 1969.