Masters Degrees in Computer Science, Finland

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.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

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.

Selection of the Major

The sub-programmes in the Master’s programme for computer science are:
-Algorithms
-Networking and services
-Software systems

You can select any of these programmes according to your preferences at the beginning of your studies. The sub-programme determines which courses you should take.

Programme Structure

The Master’s programme comprises 120 credits, which can be completed in two years, in accordance with an approved personal study plan. The degree includes:
-80 credits of advanced courses, including shared courses within the programme, courses within the programme which support the thesis topic, the Master’s thesis (Pro gradu), 30 credits.
-40 credits of other courses from your own or other programmes. The other courses can include a work-orientation period.

Career Prospects

The employment outlook within the field is excellent. Masters of computer science find varied positions within the ICT field, both as employees and entrepreneurs. The nature of the education is also geared towards giving you an aptitude for managerial posts. All the sub-programmes provide the qualifications to find employment in a wide variety of jobs.

Software-system graduates often start their careers as software developers and designers, while network graduates often start with software at the infrastructure level (such as data communications, computation, or data entry). The skills learned in the algorithms sub-programme enable you to work on challenging tasks in various fields.

As a graduate you can find employment within small or large corporations as well as organisations in the private, public, or third sector. Due to the global nature of the field, you can find employment anywhere in the world. Taking modules from other education programmes will help you apply your computer science skills in other areas. Many jobs are based on these combinations.

Thanks to its strong scientific basis, the degree is also an excellent springboard to a doctoral programme.

Internationalization

There is a very international atmosphere within the programme, as nearly a third of the students come from abroad, and the advanced courses are instructed by international researchers.

In addition, the University of Helsinki and the Faculty of Science offer you many opportunities for international activities:
-Instruction in English within other education programmes.
-International tasks within the students’ organisations or union.
-Language courses at the Language Centre of the University of Helsinki.

You can also get information and counselling about independent international experience, such as:
-Student exchange in one of the exchange locations of the faculty or university.
-Traineeships abroad.

Computer science at the University of Helsinki is a popular exchange location, especially from Germany. Some 5-10 students come annually; exchange students have come from 14 countries in recent years. The students in the department have taken exchange periods in 16 countries in the past few years.

Research Focus

There are several multidisciplinary research projects under way at the Faculty of Science, which are being carried out in cooperation with the research institutes on the science campus and with other faculties, universities, and corporations. The role of computer science within these projects is to develop the basic methods of the discipline in strategic areas and to collaborate in depth with other disciplines.

The sub-programmes within the Master’s programme cover a considerable part of the strategic focus areas of computer science research at the University of Helsinki: algorithms, data analysis and machine learning, networking and services, software systems, bioinformatics, and data science.

Computer science is part of three Finnish Academy centres of excellence: for computational inference, inversion problems, and cancer genetics. These units represent the collaboration between computer science and other disciplines.

Computer science has coordinated the long-lived Algodan centre of excellence, which has been the basis for many current research groups.

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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

• 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.

For all enquiries, please refer to our enquiry form: http://www.oulu.fi/university/admissions-contact

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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.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

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 minor 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.

Minor studies give you a wider perspective of Data Science. Your minor subject 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).

Selection of the Major

You can specialise either in the core areas of data science -- algorithms, infrastructure and statistics -- or in its applications. This means that you can focus on the development of new models and methods in data science, supported by the data science research carried out at the University of Helsinki; or you can become a data science specialist in an application field by incorporating studies in another subject. In addition to mainstream data science topics, the programme offers two largely unique opportunities for specialisation: the data science computing environment and infrastructure, and data science in natural sciences, especially physics.

Programme Structure

You should be able to complete the MSc Programme in Data Science of 120 credits (ECTS) in two years of full-time study. The programme consists of:
-Common core studies of basic data science courses.
-Several modules on specific topics within data science algorithms, data science infrastructures and statistical data science, and on data science tools.
-Seminars and colloquia.
-Courses on academic skills and tools.
-Possibly an internship in a research group or company.
-Studies in an application domain.
-Master’s thesis (30 credits).

Career Prospects

Industry and science are flooded with data and are struggling to make sense of it. There is urgent demand for individuals trained to analyse data, including massive and heterogeneous data. For this reason, the opportunities are expected to grow dramatically. The interdisciplinary Data Science MSc programme will train you to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems.

If you are focusing on the core areas of data science, you will typically find employment as a researcher or consultant, sometimes after taking a PhD in Computer Science or Statistics to deepen your knowledge of the field and research methods. If your focus is on the use of data science for specific applications, you will typically find work in industry or in other fields of science such as physics, digital humanities, biology or medicine.

Internationalization

The Data Science MSc is an international programme, with students from around the world and an international research environment. All of the departments taking part in the programme are internationally recognised for their research and a significant fraction of the teaching and research staff come from abroad.

The departments participate in international student exchange programmes and offer you the chance to include international experience as part of your degree. Data Science itself is an international field, so once you graduate you can apply for jobs in any country.

In the programme, all courses are in English. Although the Helsinki area is quite cosmopolitan and English is widely spoken, you can also take courses to learn Finnish at the University of Helsinki Language Centre. The Language Centre also offers an extensive programme of foreign language courses for those interested in learning other languages.

Research Focus

The MSc programme in Data Science is offered jointly by three departments and two research institutes. Their research covers a wide spectrum of the many aspects of data science. At a very general level, the focal areas are:
-Machine learning and data mining
-Distributed computation and computational infrastructures
-Statistical modelling and analysis
-Studies in the programme are tightly connected to research carried out in the participating departments and institutes.

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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.

For all enquiries, please refer to our enquiry form: http://www.oulu.fi/university/admissions-contact

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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.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

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
Introduces 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.

Programme Structure

The scope of the Master of Arts degree is 120 credits. The degree contains the following studies:
-Studies common to all students in the programme (30 credits)
-Advanced studies in the specialist option (at least 60 credits)
-Other studies (up to 30 credits)

The target duration of full-time studies leading to an MA degree is two years.

All students in the programme take the same courses during the autumn semester of the first year.

Then you will focus on your specialist option (general linguistics, phonetics, language technology, or diversity linguistics). This block of studies consists of courses (at least 30 credits) and of the final project, which is your Master's thesis (30 credits).

Additionally, you choose other studies: modules offered either by the other specialist options within this Master's programme or by other programmes within the University of Helsinki. The size of such optional study modules is typically 15, 25 or 30 credits. Courses offered by other universities can also be included here.

The studies in your own specialist option as well as the other studies may also include an internationalization period (e.g. student exchange) and work practice or other working life oriented study units. Working life and career development perspectives are integrated in many courses in the programme.

You will complete your studies systematically. At the beginning of your Master’s studies, you will prepare your first personal study plan (PSP). In this, you will receive support especially from the staff of the Master's programme. Guidance is also given at the Faculty level.

Career Prospects

After graduation, students of the programme find employment in a wide variety of positions, in which special knowledge of language is required.

One path prepares you for a research career, and many graduates work as researchers in Finland and abroad. You can also work in the political, diplomatic, and educational sectors, as well as research administration. Further potential employers are found in the publishing industry, media and journalism, public relations and communications of business and public administration, as well as NGOs.

If you choose a technological orientation, you may work in language technology firms or more generally in the IT sector. Big international companies are in constant need of experts in speech and language technology. Additionally, there is a vibrant field of domestic companies, some established ones and many promising start-ups. Some students have founded their own companies and become entrepreneurs.

Note that it is not possible to graduate as a (subject) teacher in the LingDA Master's programme.

In honour of the University of Helsinki's 375th anniversary, the Faculty of Arts presented 375 humanists during year 2015. Get to know the humanists! http://375humanistia.helsinki.fi/

Internationalization

Linguistics is by definition an international field. Language capacity is a feature common to all human beings, and the objective of linguistics as a science is to study both the universal background of language as a phenomenon and the global diversity of languages as expressions of social and cultural heritage.

In the LingDA programme, internationalization is present in several forms and at several levels:
-The programme functions in English and accepts international students from all countries.
-The programme recruits students representing a variety of linguistic and cultural backgrounds.
-The students are encouraged to study and master many languages from both the practical and the theoretical points of view.
-The students are encouraged early on to get engaged in documentational and typological field work among speakers of little documented languages in various parts of the world.
-The students are encouraged to use the opportunities of international exchange that the university offers.

The programme has a high international profile and all teachers have wide international contact networks. At the university of Helsinki, linguistics was internationalized as early as the 19th century. Finland is a country where, in particular, ethnolinguistics and field linguistics were developed and practised much earlier than in most other European countries. Some of the regions where Finnish ethnolinguists have been active include North and Central Eurasia, the Near and Middle East, East Asia, South Asia, and Africa. This tradition of field-work-oriented linguistics is today carried on by the HALS (Helsinki Area and Linguistic Studies) research community. At the same time, the more recent fields of linguistics, including phonetics, language technology, and typology, have developed their own international profiles.

Research Focus

The MA programme Diversity Linguistics in the Digital Age combines several research fields in which the University of Helsinki has long been a global leader. Language research in Helsinki has always maintained its strong commitment to a better understanding of cultural areas and their history. Situated in an ideal place for the study of language history and contact linguistics of various Eurasian language families, the study of Uralic languages has a long tradition in Helsinki. Our interest in the culturally and historically informed study of language reaches well beyond that, though, spanning Asia, Europe and Africa.

Our language research is empirically driven and informed by linguistic typology. The question of linguistic complexity, its significance for language and cultural history, and its intersection with ecological models is a hallmark of the Helsinki School of Linguistics. We explore new horizons in area and language studies by combining cutting edge research in linguistic typology with field work based descriptive linguistics and linguistic anthropology.

A unique asset at the University of Helsinki is the presence of various language technology initiatives at the forefront of the digital humanities. The study of morphologically complex languages plays a great role here, and special attention is paid to lesser researched languages.

Each of the four study lines of our MA programme thus corresponds to a University of Helsinki focus area. Our language-related research is typically multidisciplinary and involves more than one linguistic specialty. This is also a crucial feature in our MA programme. Students receive theoretical, thematic and methodological training for research or other professional careers that require problem-solving skills in order to maintain linguistic diversity and to support people’s linguistic well-being.

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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

• 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.

For all enquiries, please refer to our enquiry form: http://www.oulu.fi/university/admissions-contact

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