Master's Programme in Computer, Communication and Information Sciences

Tutkinto:

Diplomi-insinööri.
Katso lisätietoja.

Laajuus:

120 opintopistettä (ECTS)

Koulutusala:

Tekniikan ala

Kesto:

2 vuotta, kokopäiväistä opiskelua

Hakukelpoisuus:

Alempi korkeakoulututkinto soveltuvalta alalta tai vastaavat opinnot.

Lukukausimaksu:

Ei

Opetuskieli:

englanti
Katso lisätietoja.

Korkeakoulu/t:

Perustieteiden korkeakoulu
Sähkötekniikan korkeakoulu

Hakuaika:

01.12.2015 - 15.01.2016

Tulosten julkaisu:

29.03.2016

Computer, Communication and Information Sciences at Aalto University

Aalto University offers the largest ICT programme in Finland both in number of students and size of faculty!

Master’s Programme in Computer, Communication and Information Sciences (CCIS) merges all ICT-related education in Aalto University under eight major subjects. The programme has two broad majors: Computer Science and Communications Engineering. Students can also specialize in Software and Service Engineering. Focused majors are based on the leading-edge research areas of the university: Acoustics and Audio Technology, Machine Learning and Data Mining, Mobile Computing, and Signal, Speech and Language Processing. Game Design and Production major is offered together with the School of Arts, Design, and Architecture.

The Master’s programme’s core courses provide a strong foundation in computer science, communication engineering, and information science. In addition, students can immerse themselves deep into one of the specialization tracks of broad majors or into focused majors. The CCIS programme wants to provide its students with a lot of flexibility and freedom concerning their studies and course choices. Most majors can be completed either as a long or compact version. The long version allows you to become a specialized expert in your own field, while the more compact version allows you to include additional minor studies to your degree, either from the other CCIS programme majors, other Master’s programmes offered by Aalto University or other universities.

In the CCIS programme, education is based both on the latest scientific research and industrial state-of-the-art. The students will learn how to apply scientific knowledge and scientific methods independently. All students are encouraged to include international, multidisciplinary, and entrepreneurial components to their studies.

Read more on why to choose us from the Get to know us tab.

The CCIS programme is organized in close co-operation with the EIT Digital Master's School and its Master's Programme in ICT Innovation. At Aalto University, the programme is offered jointly by the School of Electrical Engineering and School of Science.

Study programme

CCIS has altogether eight majors that students can apply to. Four of them have also specialization tracks. The majors and their specialization tracks are described in more detail below.

Computer Science

Computer Science major, with a faculty of over 27 professors from the largest computer science unit in Finland, combines both theoretical and applied computer science. The common core courses of the major cover essential fields in information and communications technology such as operating systems and information security. The six different tracks offered focus on algorithms, software systems, security, interaction, Web, and Big Data. Together, the study programme of the CS major equips its students with versatile skills required in the rapidly changing world of ICT.

The six study tracks offered to choose from are:

  • Software Systems and Technologies: The Software Systems and Technologies track covers a wide range of topics on software systems, including mobile and cloud computing, energy efficiency of computing, novel networking technologies, and pervasive applications built on top of this basic foundation. The focus of the program is on applied computer science building on a solid software systems technology background. In this track it is also possible to study advanced learning technologies for education. See detailed course data >>
  • Secure Systems: The Secure Systems track covers the fundamental models and technologies of computer and network security, such as access control and data protection, as well as timely topics in the security of mobile, embedded and cloud-based systems. See detailed course data >>
  • Web Technologies, Applications, and Science: The teaching in the Web Technologies, Applications, and Science track covers subject areas of web services and web content in a versatile way. The students learn to develop content for the web and control the technologies related to presenting and transferring that data. The topics discussed include e.g. intelligent services and applications, information retrieval systems and their evaluation, and semantic web technologies. See detailed course data >>
  • Interactive Technologies: The curriculum of the Interactive Technologies track spans the software and hardware aspects of interactive technologies, covering input devices, interactive media, interaction techniques, user interface technologies, interactive applications, social media, and multimodal interactive systems. The teachers involved are world-known leaders in computational human–computer interaction (HCI), mobile interaction, media technology, and closely related fields like graphics and applied social psychology. See detailed course data >>
  • Algorithms, Logic, and Complexity: The track on Algorithms, Logic, and Complexity provides the students with a strong theoretical background that covers fundamental conceptual tools for the modelling, design, and analysis of advanced computing systems. See detailed course data >>
  • Big Data and Large-Scale Computing: The track on Big Data and Large-Scale computing provides the students with a strong background to cope with the challenges arising from the growth of data and information in our society. The track will educate professionals who are capable of dealing with the different aspects of modern data analysis and machine learning: data science and efficient data processing, cloud computing, distributed and parallel computing, data analysis, and information visualization. The teaching and instruction of the students is conducted by the leading experts in the focus areas of this track. See detailed course data >>

Most Computer Science students write their Master’s thesis with salary in industry. Many students continue to work in the same company after graduation. Both large international companies and smaller local ICT companies are looking for good students for thesis positions. Another alternative is to look for companies digitalizing their business, e.g. in commerce, built environments, health care or energy. Aalto University has extremely active startup community, so even starting your own company is definitely a possibility!

In the Master student admissions for external applicants, the maximum student intake of the major is 45 students.

Communications Engineering

Communications Engineering major focuses on communications and networking technology, networking business, and human centric communications. Depending on your interest, you can focus the studies more towards Internet Technologies, Wireless Communications or Communications Ecosystem.

  • In the Internet Technologies track you will learn to design carrier grade networks, develop networking protocols and Internet services, and secure your network. See detailed course data >>
  • In the Wireless Communications track you will learn about modern wireless communication system architectures, signal processing methods, resource control methods and the related spectrum management issues. See detailed course data >>
  • In the Communications Ecosystems track you will learn about operator business, to conduct techno-economic analysis of communications systems and services and to understand the end-user needs and behavior. You can also steer your studies towards user interface design. See detailed course data >>

We provide research based education to allow you to get access to state-of-art and go beyond. The faculty offering education in this major include Professors Heikki Hämmäinen (Networking business), Riku Jäntti (Communications engineering), Raimo Kantola (Routing, trust and privacy), Jarno Limnéll (Cyber security), Jukka Manner (Internet technologies), Antti Oulasvirta (User interfaces), Stephan Sigg (Ubiquitous computing), Tarik Taleb (Core networks), Olav Tirkkonen (Communications theory), Risto Wichman (Communications signal processing), and  Patric Östergård (Information theory). In addition, we have four university lecturers Pasi Lassila (Teletraffic theory), Pasi Sarolahti (Networking software, C-programming), Kalevi Kilkki (Communciations Ecosystem), and Kalle Ruttik (Software Defined Radio).

In our research and education, we believe that the role of laboratory experiments, testbeds and real implementations is important in addition to rigorous mathematical performance analysis. We have excellent laboratory facilities for experimentation in the areas of networking, wireless communications and usability studies. We do C and C++ programming as protocol implementations are often time critical. For instance, our researchers have implemented their own software defined networking based Evolved Mobility Management Entity for LTE and software defined radio implementation of a TD-LTE base station. These tools together with our experimental data center facilities let us do experimentation on mobile network cloudification. We actively contribute to IETF and implement the protocols we propose. In addition we build various tools and applications such as the Netradar tool for measuring the quality of mobile broadband connections and the Liberouter that allows communications without the need to use any fixed infrastructure.

We have very strong theoretical expertise in the area of information and communications theory and teletraffic theory. For instance, we develop computational methods for discrete mathematics and information theory focusing on existence and classification of mathematical objects such as codes; we develop transmission methods and radio resource control algorithms for 5G; and we apply queuing theory for modeling resource allocation in data centers. In the design of user interfaces we apply systematic methods from information theory and combinatorial optimization. In the area of Communicatons Ecosystem, we borrow methods from economics in order to understand the evolution of Mobile communications globally.

Finland is an especially good place for studying Communications Engineering since the telecom cluster has a strong position. Almost all major equipment manufacturers are present in Finland. We also have a very strong ICT industry in general. Aalto University is among the top ranked universities of the world when it comes to university-industry collaboration. The Communications Engineering graduates will be the key actors of the international telecommunications industry. Students typically do their Master’s thesis in industry. Students interested in postgraduate studies can do their thesis in research projects of Aalto University.

We are looking for students who have background either in electrical engineering or computer science or closely related field. Our ideal students have strong math skills and good knowledge in the basics of communications and networking. He also has basic programming skills and is eager to learn more and challenge himself. He should also be able to communicate with others and work in a multidisciplinary groups.

In the Master student admissions for external applicants, the maximum student intake of the major is 90 students.

Software and Service Engineering

Digital products and services are crucial to economies, societies and human well-being. For companies and other organizations, they offer exponentially expanding opportunities for new functionality and capabilities beyond traditional product boundaries. Students of Software and Service Engineering will learn how to design, develop, and manage digital products and services that create business value and satisfy user needs within modern organizations. Students learn how to tackle complicated, real-world problems taking human, societal and organizational factors into account.

The major has four study tracks making it possible to specialize in Software Engineering, Service Design and Engineering, User-Centered Design, or Enterprise Systems.

  • Software Engineering: Software is at the core of most developed economies and organizations. In the Software Engineering track, students learn the processes, methods and techniques used in professional software development in organizations and projects of various sizes. Core subjects include various software development activities, such as requirements engineering, design, implementation, testing and deployment, as well as supporting activities including project management, organizational development, and configuration management. See detailed course data >>
  • Service Design and Engineering: The focus of the Service Design and Engineering track (SDE) is on the role of IT as an enabler of new types of services and how these new services should be designed and implemented.  Students learn how to combine service design and software engineering to create effective and productive development processes matching the development and business needs of the organizations involved. See detailed course data >>
  • User-Centered Design: A typical characteristic of contemporary software and service design is its multi-disciplinarity. The core contents of the User-Centered Design track include the conceptual and methodological basis for working with users in different stages of software and service development. The students will learn the concepts, models, methods, and processes that can be applied in the design and development of systems and services so that the outcomes not only fit the users' needs, expectations, and contexts, but also deliver excellent user experience. See detailed course data >>
  • Enterprise Systems: For most companies and organizations, developing and managing information systems has become increasingly critical for how the companies create and capture value, how they work with partners and users, and how they secure competitive advantage. The Enterprise Systems track provides its students the knowledge, competences, and skills they will need to act successfully in the industry and society to tackle these challenges and opportunities. See detailed course data >>

In the Master student admissions for external applicants, the maximum student intake of the major is 30 students.

Acoustics and Audio Technology

In the Acoustics and Audio Technology major you will learn about acoustical phenomena, human hearing and audio technologies. You will also be trained to apply the knowledge in practice.

The studies concentrate on the fields of electroacoustics, room and building acoustics, noise, musical acoustics, and audio signal processing. A central subject area is technical psychoacoustics, which covers acoustical and audio technologies that are based on the understanding of human hearing mechanisms. These fields together constitute communication acoustics in which a human listener always exists at the end of the acoustic communication channel.

The target of the major is that after graduation you will be able to use the knowledge and skills flexibly in different positions both in industry and in academia. For example, you will know how and why modern lossy audio codecs (mp3, AAC) work. You will also be able to measure, understand the perceptual aspects, and design the acoustics of a classroom or a noise barrier. Our graduates typically find their careers in fields of, e.g., mobile technologies, sound recording and reproduction, audio coding, music technology, active noise cancellation, audio signal processing,  acoustic measurements, room and building acoustics, or in environmental noise.

The research conducted at Aalto University (see Department of Signal Processing and Acoustics and Department of Computer Science) in the fields related to this major are focused on the following topics: spatial sound reproduction, concert hall acoustics, synthesis of music instruments and natural sounds, loudspeaker and headphone reproduction, spatial sound psychoacoustics, digital filtering of audio signals, and modeling of room acoustics. The university has top-level acoustical laboratory facilities: three anechoic chambers, standardized multichannel listening room, listening booths and immersive audiovisual environments.

We are looking for students who are interested in  music, hearing, aided hearing, sound reproduction, or sound in general. To succeed in our curriculum, your Bachelor studies should contain basic university physics, mathematics and digital signal processing. 

See detailed course data >>

In the Master student admissions for external applicants, the maximum student intake of the major is 20 students.

Mobile Computing, Services, and Security

Studies in the Mobile Computing, Services and Security major give students a broad understanding of the latest and future technologies for mobile and cloud computing from several perspectives. Students will gain practical engineering knowledge of and theoretical insights into the challenges of network application development, service architectures, secure systems engineering, and mobile and cloud platforms. The graduates are well prepared, for example, for industrial R&D jobs, various expert roles, or doctoral studies at Aalto University and abroad.

The program covers topics on mobile and wireless networks, network architecture, network-based services and applications, services business, and secure systems engineering. The studies are closely linked with the research done by the teachers, for example, on the Internet of Things, cloud services, mobile platform security, energy and green ICT, pervasive and ubiquitous computing, and mobility protocols. Special attention is paid to security and privacy issues as they are critical requirements in developing and deploying services in open networks and distributed systems. The teaching methods combine theory with hands-on exercises and software development on mobile devices and cloud platforms. 

Recent Master’s thesis topics of Mobile Computing students include, e.g., Visual wireless communications with smartphones, Smart lock for bike sharing in corporate environments, Clojure on Android: Challenges and solutions, Pervasive services for flexible spaces, Benchmarking Hadoop performance on different distributed storage systems, Design and Implementation of a Distributed Mobility Management Entity (MME) on OpenStack, Performance of WebGL on mobile browsers in the context of videogames.

See detailed course data >>

In the Master student admissions for external applicants, the maximum student intake of the major is 30 students.

Machine Learning and Data Mining

The major in Machine Learning and Data Mining (Macadamia) offers a solid education in modern computational data analysis. Teaching and supervision is given by an enthusiastic and experienced faculty in this field where Aalto hosts one of the internationally strongest departments. The major provides an optimal path to doctoral studies in the research groups of the department, and also gives excellent opportunities for an industry or entrepreneur career in this rapidly developing area. Most importantly, of course, machine learning and data mining are challenging and exciting for those among us who are enthusiastic about mathematics, statistics, and computer science, with backgrounds in these or related fields such as physics.

The methods of machine learning and data mining are applicable and needed in a wide variety of fields ranging from process industry to data science. Recent spearhead application areas include bioinformatics, computational astrophysics, computational biology, computational medicine, human-computer interaction, information retrieval, information visualization, neuroinformatics and social-network analysis. Methodological keywords of the programme include Bayesian inference, data mining, deep learning, graphical models, graph mining, kernel methods, neural networks, probabilistic modelling, and statistical machine learning.

Recent Master’s thesis topics of Macadamia students include, e.g., Audiovisual speaker clustering for news broadcast videos, Patient appointment scheduling system: with supervised learning prediction, Real-time machine learning of MEG: Decoding signatures of selective attention, From exploration to sensemaking: An interactive exploratory search system, Merging chrominance and luminance in early, medium, and late fusion using Convolutional Neural Networks.

See detailed course data >>

In the Master student admissions for external applicants, the maximum student intake of the major is 30 students.

Signal, Speech and Language Processing

The purpose of the major is to provide the students with basics of either signal processing or speech and language processing and the ability to apply those in various fields of science and technology.

  • Students focusing in Signal Processing are given a strong theoretical background of modern signal processing. This means a toolbox of knowledge on signals and systems modelling, representation through transforms, systems optimization and implementation. Some emphasis is on the most recent research priorities in the field of signal processing in domains of data analysis, compression and storage, communications as well as in representation of signals. In addition, students can obtain even deeper understanding of signal processing and adjacent sciences, or apply signal processing in other fields. Interesting applications include radar systems and networks, data transmission, sensing and tracking of objects and spaces, as well as analysis of technical (machine based) and social (human based) networks. The cyber level of the smart power grid is increasingly important for efficient energy distribution and utilization, offering a platform for applying signal processing methodology for solving essential problems of great societal impact. See detailed course data >>
  • Students focusing in Speech and Language Processing are provided basics of that field and the ability to apply those in various fields of science and technology. Speech and language processing utilizes signal processing, mathematical modeling and machine learning for statistical language modeling, information retrieval and speech analysis, synthesis, recognition and coding.  Applications and research priorities have recently been, for example, speech recognition and synthesis, dictation, subtitling, machine translation, language learning, large-scale video data indexing and retrieval, speech coding and quality improvement in mobile phones and networks as well as in medical research of the human voice. See detailed course data >>

In the Master student admissions for external applicants, the maximum student intake of the major is 25 students.

Game Design and Production

The objective of the Game Design and Production major is to educate programmer-designers that understand both technology and the player’s point of view, and can thus  participate in overall game design, and take responsibility of the myriad design decisions that are not necessarily communicated in a design document and only arise during the implementation.

The students will learn about game design, production, and technology using a project-oriented, hands-on with minds-on approach. The project courses emphasize interdisciplinary and collaborative work. In addition to game technology, design and production courses, the studies can be complemented with courses from related fields such as 3D animation, interactive storytelling and interaction design. The teacher network includes both game industry professionals and game scholars. See detailed course data >>

The major in Game Design and Production is organized in collaboration with Media Lab Helsinki of Aalto University School of Arts, Design and Architecture (ARTS). Aalto ARTS has an M.A. programme in New Media with a "sibling major" of the same name (visit its website here).

The major has its separate, highly selective application process with home assignments and interviews. In the Master student admissions, the maximum student intake of the major at the School of Science is 15 students.

Career options

At Aalto University, a large part of the students write their Master's thesis in industry and start their career in R&D positions. Nowadays, many students become also entrepreneurs as Aalto University has one of the largest startup hubs in Europe.

Typical job titles of recent graduates include e.g. Software Engineer, Senior Analyst, Mobile App Developer, Senior Game Programmer, IT Consultant, Chief Technology Officer, Data Scientist, System Specialist, R&D Manager, Service Manager, Software Architect, Security Consultant, Cloud Architect, Wireless Engineer, Radio Network Analyst.

Aalto University Career Services provides information on employers, job and thesis opportunities and hints for job hunting for all Aalto students.

The programme provides also an excellent basis for doctoral studies. Both School of Electrical Engineering and School of Science have high-quality doctoral programmes. Many successful students work first as research assistants, then complete their Master's thesis at one of the department's research groups, and later continue as doctoral students. Students interested in pursuing doctoral studies after their M.Sc. degree can easily transfer to Helsinki Doctoral Education Network in Information and Communications Technology (HICT).

Tuition fees and scholarships

Students selected to the CCIS programme in the application round 2016 will not be charged tuition fees. The only mandatory fee is the Student Union membership fee of approximately 114 Euro for the academic year. With the membership fee, you will get student discounts e.g. on transportation and meals on campus.

The Department of Computer Science and the Department of Communications and Networking (Comnet) will invite exceptionally qualified Master's students to join the departments’ Honours programmes. Students admitted to the Honours programme are associated to one of the department's research groups, and will have the opportunity for part-time, research-related employment during the semesters. All selected 1st year students to the majors offered by these two departments are automatically considered for the Honours positions, and there is no separate application process. Students selected to the Honours programmes will be contacted individually. Further information: Department of Computer Science and Department of Communications and Networking (Comnet).

Admission requirements

Master's Programme in Computer, Communication and Information Sciences (CCIS) is a joint programme between two schools, School of Electrical Engineering and School of Science. The programme consists of several major subjects and students will be admitted to study one major subject in one of the two schools as follows:

  • School of Electrical Engineering: Acoustics and Audio Technology, Communications Engineering, and Signal, Speech and Language Processing
  • School of Science: Computer Science, Game Design and Production, Machine Learning and Data Mining, Mobile Computing, Services and Security, and Software and Service Engineering

Some of the major subjects allow the admitted students to choose between multiple study tracks within the major. For purposes of study guidance, the applicants are asked to indicate already on the application form (e.g. motivation letter) which track they wish to follow. The required prior knowledge is the same for all tracks within the same major.

Applicants to the programme must first meet general eligibility and language requirements that are common to all Master's programmes in Science and Technology.

Admission criteria to the CCIS programme is

  • a high quality Bachelor's degree in Computer Science, Communications Engineering, or Electrical Engineering.

Areas of required and additional knowledge considered as an advantage are defined below separately for each major.

Computer Science

Required background:

  • mathematics (linear algebra, calculus, probability theory, statistics, and discrete mathematics)
  • good programming skills
  • algorithms and data structures
  • databases
  • theory of computing
  • computer networks
  • software engineering
  • project and team work

Knowledge of at least some of the following areas is considered an advantage:

  • additional knowledge of mathematical methods
  • computer graphics
  • operating systems
  • web programming
  • advanced algorithms
  • mathematical logic
  • artificial intelligence
  • verification and testing
  • information security and cryptography
  • distributed computing
  • embedded systems
  • concurrent programming

Communications Engineering

For all tracks in Communications Engineering major, a Bachelor's degree in communications engineering, computer science or electrical engineering is required. In addition, the applicant must have solid knowledge in some of the following areas:

  • mathematics (linear algebra, calculus, probability theory, statistics, and discrete mathematics)
  • software engineering and programming skills
  • operating systems
  • basics of computer networks
  • basics of communications engineering
  • communication protocols (Internet and mobile)

Knowledge of at least some of the following areas is considered an advantage for successful study performance in the chosen study track:

  • computer architecture
  • distributed systems and parallel programming
  • practical experience in networking
  • software engineering
  • communications systems components and design
  • fundamentals of communications and information theory
  • fundamentals of electronics systems design
  • economics
  • management
  • complex systems
  • social or behavioral sciences
  • user-interface design

Software and Service Engineering

Required background:

  • mathematics (linear algebra, calculus, probability theory, statistics, and discrete mathematics)
  • good programming skills
  • algorithms and data structures
  • databases
  • theory of computing
  • computer networks
  • software engineering
  • project and team work

Knowledge of the following areas is considered an advantage:

  • software product development
  • information systems and solution development
  • software business
  • human-computer interfaces
  • media design
  • web software and online services

Acoustics and Audio Technology

Required background:

  • mathematics (linear algebra, Fourier analysis, probability theory, and statistics)
  • physics (classical physics and mechanics)
  • digital signal processing
  • applied signal processing (audio and speech processing)
  • programming skills

Knowledge of the following areas is considered an advantage:

  • music or musical instruments
  • recording, mixing, and reproduction of sound
  • design and building of audio equipment

Mobile Computing, Services and Security

Required background:

  • mathematics (linear algebra, calculus, probability theory, statistics, and discrete mathematics)
  • good programming skills
  • algorithms and data structures
  • databases
  • theory of computing
  • computer networks
  • software engineering
  • project and team work

Knowledge of the following areas is considered an advantage:

  • additional knowledge of mathematical methods
  • mobile applications
  • web software and online services
  • operating systems
  • distributed computing
  • embedded systems
  • advanced computer networking
  • information security and cryptography

Machine Learning and Data Mining

Required background:

  • mathematics (linear algebra, calculus, probability theory, statistics, and discrete mathematics)
  • good programming skills
  • algorithms and data structures
  • databases
  • theory of computing
  • computer networks
  • software engineering
  • project and team work

Knowledge of the following areas is considered an advantage:

  • additional knowledge of mathematical methods (important)
  • stochastic methods, advanced probability theory and statistics
  • artificial intelligence, machine learning, and data mining
  • computational modelling and data analysis
  • signal processing
  • big data applications

Signal, Speech and Language Processing

Required background:

  • mathematics (linear algebra, calculus, probability theory, statistics)
  • programming skills
  • algorithms and data structures
  • software engineering
  • signal processing

Knowledge of the following areas is considered an advantage:

  • speech and language processing
  • pattern recognition
  • machine learning
  • project and team work

Game Design and Production

Required background:

  • mathematics (linear algebra, calculus, probability theory, statistics, and discrete mathematics)
  • good programming skills
  • algorithms and data structures
  • databases
  • theory of computing
  • computer networks
  • software engineering
  • project and team work

Knowledge of the following areas is considered an advantage:

  • game design
  • audiovisual design and production skills (3D modeling, 2D art, sound design, video editing)
  • participation in game projects and jams

Students chosen to the majors may be required to complement their earlier degree with complementary studies. Complementary studies cannot be included in the Master's degree. Applicants will be notified about whether they are required to take complementary studies at the time of selection.

Evaluation criteria

The student selection process is competitive and the best applicants are selected according to the following evaluation criteria:

  • Content of the previous degree(s)
  • Recognition and quality of the applicant's home university
  • Study success: grades achieved and pace of studies
  • Motivation and commitment to studies in the programme
  • Other relevant achievements (work experience, publications, etc.)
  • Recommendations
  • Language proficiency

The selection process is paper-based, except for in the major of Game Design and Production (see below).

The applicant's study success will be evaluated based on the grade point average (GPA) and results in key courses. Very good previous study success is expected. The minimum GPA for applicants from Finnish universities of applied science is 4.0. Applicants with GPA below the limit cannot be admitted unless they have other exceptional qualifications.

The programme does not have a minimum quota to be fulfilled, and not all eligible applicants will necessarily be admitted. Due to the large number of applicants, only the applications ranked highest in a preliminary evaluation based on the suitability of previous degree and sufficient study success will be evaluated against the full set of criteria listed above.

Studies in the Master's programme should provide genuinely new knowledge for the applicant. If the applicant already has a Master's degree, the motivation letter should clearly indicate why another Master's degree is necessary.

Evaluation criteria for Game Design and Production

The major in Game Design and Production is organized in the two schools of Aalto University, School of Science and School of Arts, Design and Architecture. A group of students representing a variety of skills, backgrounds and talents are chosen every spring.

Depending on the school attended, the student graduates with either M.Sc. (Technology) or M.A. (Art and Design). Correspondingly, if your background is in technology/engineering, you should apply to the major through the admissions in technical field (current page), and if your background is in art/design, you should apply to the major through the admission in that field (link).

The evaluation of applications is conducted in two phases.

Phase I

Evaluation of the applicant's paper application is based on the above joint evaluation criteria of the CCIS programme. Special attention will be paid to the major-specific required and additional background knowledge.

During the evaluation, we value especially prior involvement in game production, e.g., participation in game jams and the creation of interactive software and technology, e.g., computer graphics. This experience is best demonstrated as videos to which links can be provided as part of the application documents.

Phase II

Based on the evaluations in Phase I, the best applicants will be invited for interviews that will take place on 9-11 March. Skype or phone interviews will be used with those applicants who do not live in Finland.

Applicants will be required to complete a set of assignments prior to interviews and a portfolio pitch as part of the interview.

Note that both prospective M.Sc. and M.A. students go through the same application process for the Game Design and Production major, but the focus of the portfolio evaluation and interview will vary depending on which degree is being applied for.

Required application documents

In addition to the mandatory application documents, applicants to the CCIS programme are requested to provide the following additional documents:

  • at least one original recommendation letter (preferably academic)
  • course descriptions of courses taken in relevant subject areas (see the subject lists above)
  • work certificates and certificates of other relevant achievements
  • copies of any publications
  • official transcript of records for other university studies which are not included in the mandatory part of the application
  • GRE or GMAT test results, if available (please include a paper copy of the result)

Applicant’s motivation letter (compulsory part of the online application form) should be written in English. Also additional application documents described above (recommendations letter(s), course descriptions, work or other certificates, and publications) should preferably be submitted in English. If some other language than English, Finnish or Swedish is used in them, the applicant must provide precise, word-for-word translations of them.

The application should explain the full educational history of the applicant.

How to apply

Contact information

For enquiries regarding the application process, application documents and language tests, please contact admissions [at] aalto [dot] fi (
admissions@aalto.fi.)

For enquiries regarding studies in the programme and major subjects, please contact the schools involved as follows:

  • Computer Science, Software and Service Engineering, Machine Learning and Data Mining, Mobile Computing, Game Design and Production: masters-sci [at] aalto [dot] fi.
  • Communications Engineering, Acoustics and Audio Technology, Speech and Language Technology: masters-elec [at] aalto [dot] fi.

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Sivusta vastaa: | Viimeksi päivitetty: 14.12.2015.