Master's Degree in Computer Science in Espoo in Finland

View Masters Programs in Computer Science 2017 in Espoo in Finland

Computer Science

A Masters degree is an academic degree awarded to individuals who successfully denote a higher level of expertise. There are two main types of Masters - taught and research.

There are several fields that make up the broader field of computer science. One of these fields is the computational complexity theory, which can be very abstract. Other fields, such as computer graphics, deal more with concrete and hands-on visuals.  

 

Higher level scholars in Finland easily access higher education courses at practically oriented polytechnics or universities. The Finnish culture is easy to learn since the government has set a ministry which is responsible for enhancing cultural, youth policies, sports and international cooperation.

Espoo is the 2nd largest city in Finland. It is an urban municipality with over 200,000 residents. It is home to Aalto University and a branch campus of Helsinki University of Technology.

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Master of Science in Computer, Communication and Information Sciences - Signal, Speech and Language Processing

Aalto University
Campus Full time 2 years August 2017 Finland Espoo

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. [+]

Masters in Computer Science in Espoo in Finland. Study programme 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. 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. Tuition fees and scholarships Non-EU/EEA students selected in the application round 2017 will be charged tuition fees. Admission requirements General admission requirements The general eligibility requirements are the same for all Master's programmes in the field of science and technology. Please see also the requirements concerning language skills. Eligible applications are then sent to the academic evaluation described in more detail below. Programme-specific admission requirements Applicants to the programme must first meet the 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, software engineering, communications engineering, or electrical engineering. Excellent candidates with degrees in other fields such as information systems, engineering, natural sciences, mathematics or physics will be considered if they have sufficient studies and proven skills and knowledge in the required areas. 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 Application documents In addition to the compulsory application documents, the applicants 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 list 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 The application should explain full educational history of the applicant. Applicant’s motivation letter (compulsory part of the online application form) should be written in English. For purposes of study guidance, the applicants are asked to indicate already on the motivation letter which track they wish to follow. 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. [-]

Master in Software and Service Architectures (SSA)

EIT Digital Master School
Campus Full time 2 years September 2017 Finland Espoo

The programme in Software and Service Architectures is an enhanced version of the previous programme on Service Design and Engineering and aims to educate the next generation of service designers and software architects capable of designing and engineering novel software systems to: (i) Drive digitalization of businesses, (ii) Create new businesses based on software intensive services, (iii) Be responsible for the elicitation and definition of what software products and services IT companies should create in order to be successful; (iv) Be responsible for the processes and methods for the effective development of modern software systems. [+]

Formerly known as: Service, Design and Engineering SDE) Why study the EIT Digital Software and Service Architectures programme? The EIT Digital SSA programme offers: Innovative and well grounded education for the next generation of service designers and software architects. Studies at two of Europe´s foremost technical universities leading to a double degree. A good integration with tailored courses in Innovation and Entrepreneurship. A thesis work connected to interesting industrial challenges. Access to the competence of eight EIT Digital innovation action lines (link) not least through a summer school between the two years. Access to the co-location centres and innovation ecosystems of the nine EIT Digital nodes. What is the programme all about? The programme in Software and Service Architectures is an enhanced version of the previous programme on Service Design and Engineering and aims to educate the next generation of service designers and software architects capable of designing and engineering novel software systems to: (i) Drive digitalization of businesses, (ii) Create new businesses based on software intensive services, (iii) Be responsible for the elicitation and definition of what software products and services IT companies should create in order to be successful; (iv) Be responsible for the processes and methods for the effective development of modern software systems. The SSA programme is an interdisciplinary programme that offers courses to enable graduates to take on the following challenges: What software-based businesses should be developed (user centric needs and business focused opportunities) How should software be developed (modern and agile software engineering methodologies integrated with design thinking and User Centric/Service Design methods) How can software be used to generate and improve business benefits (Service Oriented Architectures, Internet of Things, etc.) SSA students will learn to work in teams to guide the software development process of complex information systems. What are the career opportunities for graduates from the programme? The SSA programme approach is multidisciplinary covering a wide range of topics from user studies, user centered development and business process modelling to software engineering, data analysis, software security and highly distributed software system. Graduates from the SSA master’s programme will qualify for jobs in international and local companies involved in digitalized business, in software and service design companies and in software consultancies with a service focus: Graduates will also be able to contribute to and start totally new businesses. Typical job descriptions or titles are; Software and services designer; Software architect; Information System architect; Systems designer / engineer; Business developer; Product manager; Consultant. How is the programme structured? The programme is a double degree programme with studies at a university in one country the first year (entry) and studies at a university in another country the second year (exit). The programme has an integrated technical content (Technical major) and business content (Innovation & Entrepreneurship – I&E minor). The I&E minor is shared between all EIT Master's programmes (link). An integral part of the second year is a Final Degree Project (30 ECTS, including Master's Thesis).The structure and content of the technical major is given below. Where can I study If I choose Software and Service Architectures? Entry - 1st year UNITN - Trento Aalto - Helsinki ELTE - Budapest Exit - 2nd year, specialisation Software and Services for Social systems (UNITN - Trento) Software and Services for Smart Spaces (Aalto - Helsinki) Scalable Systems (ELTE - Budapest) Business Process and Information Management (TU/Eindhoven) Software and Services in the Cloud (UPM - Madrid) Specific Admission Requirements A B.Sc. degree primarily in computer science, software engineering, information systems, telecom or digital media is required. In special cases bachelor degrees from areas like engineering, economics, or industrial arts and design with some potential complementary computer science studies etc. mathematics and programming can be considered. [-]

Master in Cloud Computing and Services (CCS)

EIT Digital Master School
Campus Full time 2 years September 2017 Finland Espoo

The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. [+]

Masters in Computer Science in Espoo in Finland. The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. What is common to all of these applications is that information sources and control are decentralised over the network and multiple data centres and their underlying systems become distributed, reconfigurable and adaptive. All this makes the process of developing distributed software systems significantly more complex than for centralised systems. Cloud Computing and Services will provide students with a system of knowledge both in formal foundations, technological platforms and practical skills in implementing distributed software applications. The programme will also provide an insight into current and future directions of the distributed software development. After completion of the study, students understand and know how to use large distributed systems. On top of this they are also capable of designing and constructing cloud computing systems and services on networking and computing infrastructures. The programme will offer six specialisations: (1) Mobile Services, (2) Cloud and Data Analytics, (3) Cloud Infrastructures, (4) Data Intensive Computing, (5) Distributed Information Management, (6) Distributed Data Processing. Programme During the first year, a similar set of courses are offered at the four involved entry points Aalto University, TU Berlin, University Rennes 1 and TU Delft. This includes distributed systems, advanced network technologies, service technologies and cloud programming models. In addition, some elective cours-es may be chosen to prepare for a specialisation. An important part of the programme are the Innovation and & Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business and management. The Business Development Lab will extend projects mainly in the areas of distributed system and cloud computing by a market survey, a business model generation process and a venture development exercise. We emphasize user driven innovation and holistic analysis of service, technology, organization and financial perspectives, as distributed systems in general and cloud computing in particular are disruptive for existing business models and almost always have a significant impact on the culture and social relations. Society-relevant themes will also be at the core of the summer schools, which will bring students from the different entry points together. Students participating in the CCS track will be offered an internship in a partner industry or research centre of the EIT Digital to work on a thesis project. Directly linked to the master thesis, there will be the I&E minor thesis that will specify the requirements, strategy and business plan for the selected master thesis project. The I&E thesis allows students to study topics including, but not limited to: Different models for cloud computing (IaaS; PaaS, SaaS) Peer-to-peer systems and environments Innovative service for mobile computing (location-based and context-aware services), Parallel and distributed systems Security and privacy for electronic commerce applications Linked open data and semantic web Multi-agent systems. Specialisations Specialisations are provided during the second year. The CCS programme offers 6 specialisations, each at a different location. To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. Mobile Services at Aalto Cloud & Data Analytics at TU Berlin Cloud Infrastructures at University Rennes 1 Data Intensive Computing at KTH Distributed Information Management at Université Paris-Sud Distributed Data Processing at Delft University of Technology Specific Admission Requirements A B.Sc. degree in computer science, computer engineering or information systems, is required. Students should have basic competence in mathematics, theoretical foundations of CS, algorithms and data structures, software engineering and database systems, computer architectures, computer networks and operating systems. [-]