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Masters Degrees in Computer Science, Finland

We have 6 Masters Degrees in Computer Science, Finland

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Goal of the pro­gramme. Computer science has a brilliant future! You could help to create new network solutions, build the future digital society, develop secure digital services, or be involved in a ground-breaking international software project. Read more

Goal of the pro­gramme

Computer science has a brilliant future! You could help to create new network solutions, build the future digital society, develop secure digital services, or be involved in a ground-breaking international software project. Perhaps you will develop algorithms for utilising genome data in medicine or optimise bus routes using positioning data. Do you wonder about all the things that can be automated? Or would you like to dig deeper and become a researcher?

In the Master’s programme in computer science you can become an expert in a wide range of fields. You will have access to the focus areas of research in computer science at the University of Helsinki: algorithms, distributed or networked systems, and software engineering. You will gain lasting professional skills for specialist, design, or managerial posts in the corporate world, or for research and doctoral education, since the Master’s programme in computer science gives you the aptitude for both independent working and multidisciplinary teamwork.

This education will give you:

  • The ability to advance your knowledge in the different areas of computer science
  • The skill to seek, assess, and analyse scientific information in your own area of expertise, and apply the methods of the field in an ethical and sustainable way
  • The ability to act as expert in the field, and to develop the practices and methods of your field in cooperation with specialists from other fields
  • Oral and written communication skills in an international work environment

The quality teaching within the computer science programme at the University of Helsinki has been highlighted repeatedly in national and international teaching assessments. The student-centred, in-depth learning gives you a solid basis for life-long learning. Studying at the leading research unit for computer science in Finland offers you constant interaction with current research and insight into the development patterns in the field.

Further information about the studies on the Master's programme website.

Pro­gramme con­tents

In future, we will increasingly be using intelligent tools, consisting of networked hardware, software, services, and data. They will work based on intelligent, learning algorithms, data streams carried by communication protocols, and global infrastructures.

Within the Algorithms sub-programme, you will study effective algorithms and their application within other disciplines and in corporate life. Future IT systems will contain more and more intelligent components, the function of which will be based on complex mathematical models created automatically with the aid of machine-learning methods. The problems to be solved are computationally challenging, and the ever increasing amounts of data will create their own challenges when it comes to the efficiency of the algorithms needed.

The Networking and services sub-programme educates you to become an expert and strategic leader in the design and management of new global infrastructures. The infrastructures include Internet technologies in fixed networks and mobile environments, as well as the information and service networks built on top of them. Focus areas include the theory, data security, and trust within distributed systems, interactive systems, and the adaptability of services in a changing environment.

The Software systems sub-programme introduces you to the design and implementation of advanced software. The development of a shared software framework or platform for several software products is very demanding both technically and from the development project viewpoint. Developing such software requires technical skills, but also team- and project work, quality assurance, and communication. Within this sub-programme, you can specialise in software engineering, software technology, or information management, and study the current research questions in these areas in depth.



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Application period/deadline. November 1, 2017 - January 24, 2018. Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment. Read more

Application period/deadline: November 1, 2017 - January 24, 2018

• Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment

• The studies combine both theoretical and practical approach

• Specializations in Applied Computing, Artificial Intelligence, and Computer Egineering

The International Master’s Degree Programme in Computer Science and Engineering (CSE) is a two-year research-oriented programme concentrating on intelligent digital solutions to real world problems. During the past decades, Computer Science and Engineering has had a significant impact into our daily lives. The development continues and soon computers will not be used as separate devices anymore. Instead they will blend into our living environments and offer us rich sets of services through natural and intuitive user interfaces. The graduates from Computer Science and Engineering will play a key role in this development.

The two-year programme has three specialisation options:

• Applied Computing

• Artificial Intelligence

• Computer Engineering

Applied Computing focuses on the next generation of interactive systems that place humans at the focus of the technological development. Adopting a multidisciplinary real-world approach, students have to spend a substantial amount of time working in group projects to develop a variety of systems ranging from interactive online services to games and mobile applications, with a strong focus on innovation and design.

Artificial Intelligence focuses in various fields of AI, such as machine learning, machine vision, and data mining. This specialisation provides students with a solid theoretical understanding and practical skills on processing and analyzing digital data and the ability to create intelligent solutions to real world problems with modern AI techniques.

Computer Engineering focuses on both hardware and software aspects of computing with emphasis on embedded system development. In this specialisation, students also study signal processing and its applications, and work with projects on modern signal processors and embedded computers. The specialisation gives the students a good basis to work with Internet of Things (IoT) applications.

In addition to the core specialization options, students can take optional courses to widen their specialization expertise into:

• Biomedical signal analysis

• Machine learning

• Machine vision

• Signal processing

• Embedded systems

• Ubiquitous computing

This Master’s programme is provided by the Faculty of Information Technology and Electrical Engineering, and students are strongly encouraged to work closely with research groups in the faculty that are international leaders in their fields. The Center for Machine Vision and Signal Analysis (CMVS) is renowned world-wide for its 35 years of expertise in computer vision research. The Center for Ubiquitous Computing (UBICOMP) has created a unique research environment for Ubiquitous Computing including multitouch wall-sized displays, smartphone sensing middleware and sensor networks. Biomimetics and Intelligent Systems Group (BISG) is a fusion of expertise from the fields of computer science and biology. During the studies the research groups provide students trainee and master’s thesis positions, with the possibility to continue as a doctoral student, and even as a post-doctoral researcher.

The programme will provide the graduates with sufficient skills to work in a wide variety of positions offered by research institutes and companies mainly operating in the field of information and communications technology (ICT). The graduates are most likely to be employed in research and development related positions, but also management positions and entrepreneurship fit into the profile.

Possible titles include:

• Research Scientist

• Software Engineer

• System Designer

• Project Manager

• Specialist

Students applying for the programme must possess an applicable B.Sc. degree in computer science, electrical engineering or relevant fields such as physics or applied mathematics.

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Goal of the pro­gramme. Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Read more

Goal of the pro­gramme

Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Data scientists help organisations make sense of their data. As data is collected and analysed in all areas of society, demand for professional data scientists is high and will grow higher. The emerging Internet of Things, for instance, will produce a whole new range of problems and opportunities in data analysis.

In the Data Science master’s programme, you will gain a solid understanding of the methods used in data science. You will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science. In the Data Science master’s programme, you will also be able to work on problems specific to a scientific discipline and to combine domain knowledge with the latest data analysis methods and tools. The teachers of the programme are themselves active data science researchers, and the programme is heavily based on first-hand research experience.

Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. In particular, you will be able to

  • Understand the general computational and probabilistic principles underlying modern machine learning and data mining algorithms
  • Apply various computational and statistical methods to analyse scientific and business data
  • Assess the suitability of each method for the purpose of data collection and use
  • Implement state-of-the-art machine learning solutions efficiently using high-performance computing platforms
  • Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge
  • Report results in a clear and understandable manner
  • Analyse scientific and industrial data to devise new applications and support decision making.

The MSc programme is offered jointly by the Department of Computer Science, the Department of Mathematics and Statistics, and the Department of Physics, with support from the Helsinki Institute for Information Technology (HIIT) and the Helsinki Institute of Physics (HIP), all located on the Kumpula Science campus. In your applied data science studies you can also include multidisciplinary studies from other master's programmes, such as digital humanities, and natural and medical sciences.

Further information about the studies on the Master's programme website.

Pro­gramme con­tents

The Data Science MSc programme combines elements from computer science and mathematical sciences to provide you with skills in topics such as machine learning, distributed systems and statistical methods. You might also find that knowledge in a particular scientific field is useful for your future career. You can obtain this through elective studies in the MSc programme, or it might already be part of your bachelor-level degree.

Studies in the Data Science MSc programme include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field.

Elective studies give you a wider perspective of Data Science. Your elective studies can be an application area of Data Science (such as physics or the humanities), a discipline that supports application of Data Science (such as language technology), or a methodological subject needed for the development of new Data Science methods and models (such as computer science, statistics, or mathematics).



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Application period/deadline. November 1, 2017 - January 24, 2018. Solid foundation of software engineering and information systems methods and technologies. Read more

Application period/deadline: November 1, 2017 - January 24, 2018

• Solid foundation of software engineering and information systems methods and technologies

• Understanding of software ecosystems

• Understanding of user-oriented products and services

The international master’s degree programme in Software, Systems and Services Development in the Global Environment (GS3D) is a two-year programme. The programme will give you relevant skills and core knowledge of the latest methods, tools and technologies to be an expert or manager in a global ICT company. You will also get skills to lead multicultural teams, projects and units. Other topics include:

• System design methods for information systems

• Open source software development

• Service design

• Organisational change

• Software engineering management, measurement, and improvement

• Information security policy management

• Software business issues

• Research methods

• Project management

• Optional studies based on personal interests

Optional modules makes it possible to widen your expertise based on personal interests, focusing for example on:

• Business

• Computer science

• Wireless communications engineering

• Electrical engineering

• Software engineering

• Information systems

• Human-computer interaction issues

ICT is highly international field. Students gain experience on multi-cultural working during their studies. The degree programme has strong traditions and good experiences in collaboration with companies in information industry. Working life oriented way of completing studies means that practical exercises and projects are conducted in collaboration with companies.

The project work at the end of Master's level studies integrates studies and is ordered and steered by a company or a research unit. Also the master's thesis is typically made for a company. With close cooperation with industry, the education is kept relevant and up-to-date, and visiting lecturers from industry are invited to courses.

The graduates will acquire solid academic training and essential knowledge and skills to analyse and evaluate different situations, such as:

• Dynamics of the software business environment

• Human activities in IT use situations

• Software solutions and processes from the perspective of software architecture

• Design patterns

• Established capability and maturity models

Graduates have the capability to act as independent experts in goal-oriented projects and manage professionally projects in global ICT companies.

Possible titles include:

• Project Manager

• Chief Information Officer

• Software Designer

• User Experience Designer

• Information Security Specialist

Students applying for the programme must possess an applicable B.Sc. degree in one of the following fields of study: Software Engineering, Information Systems, Computer Science, Information Technology, Computer Engineering, or nearby studies.

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Goal of the pro­gramme. Read more

Goal of the pro­gramme

Why do languages change? Why does your mobile device suggest funny completions for words you are typing? How did it happen that Finnish is spoken mostly in Finland, but its linguistic relatives are scattered over a larger area? How can you study a language that does not have a standard orthography? Why can you sometimes tell where other people come from just by their accent? Why do some people stick to their dialect, but others give it up when they move to the city? Should you try to support language diversity? Can we save languages that are spoken by a very small number of people? How can computer-synthesised speech be made to sound more human? Why do some languages seem so much more difficult to learn - are they inherently more complex?

This Master's programme will provide you with an understanding of the nature and diversity of human language and with the theoretical tools for working with language material. If you are interested in languages but are unable to decide which of them you want to study, this Master's programme offers several fields of specialisation. One of them might be just perfect for you.

During your studies, you will:

  • gain an in-depth understanding of the basic structure of language, its subsystems (phonology, morphology, syntax, semantics, pragmatics) and their mutual relationships
  • learn the fundamentals of linguistic analysis and language description
  • familiarize yourself with linguistic concepts, theories, descriptive models and the associated research methods
  • learn how language is related to cognition, speech and interaction as well as to social structures, culture and society
  • learn to use various methods and technical tools in order to manage and analyze language data.
  • gain a good understanding of linguistic variation and diversity: what is common to the world's languages and how they differ, how language changes through time, how languages influence one another, how individuals cope with multilingual situations and how communities speaking endangered languages can be supported.

After completing your studies, you will be able to work independently in various fields that require multidisciplinary expertise in linguistic sciences. You will have the theoretical knowledge and skills that are required for postgraduate studies in the doctoral programme in language studies.

Further information about the studies on the Master's programme website.

Pro­gramme con­tents

Linguistic Diversity in the Digital Age is an integrated international programme that offers you a comprehensive view of all subfields of the science of language. As a student in the programme you will be able to choose among four specialist options: (1) General Linguistics, (2) Phonetics, (3) Language Technology, and (4) Diversity Linguistics. 

General Linguistics gives you comprehensive in-depth training in a wide range of theoretical and methodological approaches to language structure and language in use. Special emphasis is put on language typology in a global perspective as well as the documentation and description of endangered and previously undocumented and under-documented forms of speech. 

Phonetics will introduce you to the tools for working with the articulatory, acoustic and perceptional aspects of human speech from a multidisciplinary perspective. At the more advanced level, you will become acquainted with the methods of experimental phonetics. 

Language Technology combines linguistics with digital technology in an interdisciplinary approach with close links to computer science. The focus areas include natural language processing (NLP) for morphologically rich languages, cross-lingual NLP and language technology in the humanities.

Diversity Linguistics encompasses all aspects of linguistic diversity in time and space, including historical linguistics as well as the extralinguistic context of languages: ethnicities, cultures and environ­ments. The areal foci in Diversity Linguistics are Eurasia and Africa. 

These four specialist options interact at all levels. There is a study module common to all students in the programme regardless of the specialist option they choose. The integration of these four perspectives into one programme is unique - no similar programme exists anywhere else.

In the context of “Humanities”, the programme has the closest relationship to natural sciences, and many subfields of the programme involve methods directly linked to laboratory sciences, including digital technology and neurosciences.

The teaching in the programme includes lectures and seminars, practical exercise sessions, reading circles, fieldwork excursions, as well as work practice (internship). The broad spectrum of teaching methods guarantees optimal support for your learning processes. 



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Application period/deadline. November 1, 2017 - January 24, 2018. Cutting-edge knowledge in wireless communications both at physical and network layers. Read more

Application period/deadline: November 1, 2017 - January 24, 2018

• Cutting-edge knowledge in wireless communications both at physical and network layers

• Capability to design and implement wireless solutions, e.g., for future 5G networks, Internet-of-Things (IoT) devices and smart energy-efficient wireless sensor applications

• Relevant skills of the latest radio engineering methods, tools, and technologies, and ability to design RF electronics for smart phones and base stations of mobile systems

The International Master’s Degree Programme in Wireless Communications Engineering (WCE) is a two-year programme concentrating on wireless communications network technology. The programme will give you relevant skills and core knowledge of the latest methods, tools and technologies combined with time-tested issues such as:

• Antennas

• Advanced wireless communication systems

• Communication networks

• Computer engineering

• Electronics

• Information theory

• Stochastical and digital signal processing

• Radio channels

• Radio engineering

The two-year programme has two specialisation options:

• Radio Access and Networks

• RF Engineering

Radio Access and Networks concentrates on designing and applying radio access technologies both at physical layer and at network layer for 5G, IoT, and future mobile system generations.

RF Engineering focuses on essential radio system parts and gives the knowledge to design integrated RF and DSP circuits for mobile handsets, base stations, future 5G devices, IoT applications, and smart & energy efficient sensors.

Optional module makes it possible to widen your expertise into:

• Machine vision

• Mobile and social computing

• Signal processors, and

• Video and biomedical signal processing.

The education is organized by the Centre for Wireless Communications which consists of 150 academics from over 20 countries. CWC performs world-class research for the future of 5G and IoT applications, which will give you the possibility to move forward already during your studies. CWC provides a number of jobs as a trainee or a master’s thesis student, with the possibility to continue as a doctoral student, and even as a post-doctoral researcher.

The skills gained in the programme offer you a solid academic training and essential knowledge on the design of wireless communications networks at the system level. After graduation you are capable of designing, implementing and employing 5G and IoT applications and developing future wireless communications technologies.

Possible titles include:

• Chief engineer

• Design engineer

• Development engineer

• Maintenance engineer

• Patent engineer

• Program manager

• Project manager

• Radio network designer

• Research engineer

• RF engineer

• Sales engineer

• System engineer

• Test engineer, and

• University teacher

Students applying for the programme must possess an applicable B.Sc. degree in one of the following fields of study: communications engineering, electronics & electrical engineering, or computer engineering.

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