Search MSc Programs in Computer Science in Finland 2019

Objective of the Programme: The main goal of this program is to train of scientists and specialists, who will have abilities and skills to perform scientific research and project design in various areas of computational science, including HPC technologies for decision support systems, cloud computing and cloud eScience infrastructures, computer multi-scale simulation of complex systems and processes.

Language: English

The program is focused: on applicants with an applicable Bachelor's degree, fluent in English and planning a future career in high-tech international companies, both in Russia and abroad.

Objective of the Program: The Program provides up-to-date knowledge, skills and capabilities required in software engineering and service design using modern technologies and efficient teaching methods.

Language: English The program is focused: on applicants with an applicable Bachelor's degree, fluent in English and planning a future career in high-tech international companies, both in Russia and abroad.

The International Master’s Degree Program in Computer Science and Engineering (CSE) is a two-year research-oriented program concentrating on intelligent digital solutions to real-world problems. During the past decades, Computer Science and Engineering has had a significant impact on 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.... [-]

Studies in Human-Computer Interaction (HCI) prepare future experts and leaders who use advanced methodologies to design and develop information technology for the benefit of people.

Advances in hardware, machine learning, robotics, software engineering, and networks have opened remarkable new possibilities in information technology. Studies in Human-Computer Interaction (HCI) prepare future experts and leaders who use advanced methodologies to design and develop information technology for the benefit of people.

The programme approaches human-computer interaction from the viewpoints of engineering, computer science, and applied sciences. Students will learn a variety of powerful engineering and computer science methods to approach challenges in interactive technologies systematically, such as in concept creation, user interface design, machine intelligence, mechanical and electrical design, and data analysis. They learn essential human and social factors and how to integrate them in problem-solving and models. Students will also familiarize with practical interdisciplinary development and design processes and obtain technical skills to experiment and prototype innovative interactions. The programme also develops meta-cognitive skills to drive visions of interactive technology, critically evaluate different approaches to interaction, and to develop competences further by following advanced research literature.... [-]

Game Design and Production is a multidisciplinary major that tightly integrates students from different backgrounds. Students of the programme get to create and analyze games, experiment with new technologies and design approaches, and meet brilliant people with whom to build the future.

Game Design and Production is a multidisciplinary major that tightly integrates students from different backgrounds. Students of the programme get to create and analyze games, experiment with new technologies and design approaches, and meet brilliant people with whom to build the future. In addition to a deep understanding of games, graduates will have a portfolio of completed projects, which helps in getting into the games industry. The teaching staff includes both game industry professionals and game scholars.... [-]

Machine learning is one of the strong points of Aalto University. This solid education in modern computational data analysis gives you excellent opportunities for a career in research institutions or in the private sector in the rapidly developing fields of machine learning, data science, and artificial intelligence.

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

As a result of the digital revolution, which is radically transforming the world, there is a constant need for well-rounded communications engineers with great knowledge of the technology fundamentals, in-depth programming skills and a solid understanding of the business dynamics.

Communications Engineering, which is one of the majors under the Master's Programme in Computer, Communication and Information Sciences, gives a solid understanding of Internet technologies, wireless communications and communications ecosystems - from the perspective of concepts, technologies and methodologies. Furthermore, during your communications engineering studies, you can increase your knowledge for example in mobile communications, industrial internet, cyber security, machine learning applications in communications engineering, and information theory.... [-]

Computing is one of the technologies thoroughly transforming our future, with software pervading all areas of human activity: industry, commerce, healthcare, media, and even art. Disruptive computing technologies, such as artificial intelligence, big data, blockchains, cloud computing and the web lead to revolutionary innovations, and pushing the boundaries of computation gives rise to fascinating scientific challenges. The teaching in the Computer, Communication and Information Sciences - Computer Science programme builds on a solid methodological base, and computer science students typically acquire excellent programming skills. Alongside computer science studies, it is recommended to include studies from other fields as either elective studies or a minor subject. The core courses of the programme give students a strong foundation in algorithms, computer graphics, machine learning, operating systems, security, user interfaces, web software development, etc.... [-]

Computers and software are an integral part of our daily lives. The interaction between people and computers takes different forms as computers are integrated into different systems from mobile devices to clouds.

The trend is towards more and more complex systems that are connected in various ways to form large distributed systems. As the systems and their component services are constantly evolving, understanding the complexity and system integration is crucial, which means that there is a need for skilled software specialists in the field.

Applicants should hold a Bachelor of Science degree in computer science, software engineering, or mathematics.... [-]

Robotics has for long been the key to efficient manufacturing. However, current robots mostly perform rigid tasks in a production pipeline with no ability to operate in changing environments. Next-generation autonomous robots operate among humans and require a completely new set of skills.

Not only do robots need to understand their surroundings, but they should also be able to cooperate with humans and even predict human actions. Applicants should hold a Bachelor of Science degree in computer science, mathematics, automation engineering, signal processing, or a related discipline.

Students should be familiar with the basics of programming, digital logic and processors. The recommended prior learning also includes familiarity with machine learning and control engineering.... [-]

Data engineering tickles your curiosity: every day is an adventure in the jungle of new data challenges.

Data-driven systems are at the centre of modern computer engineering and hold great promise for the future.

Data engineering is needed for solving challenging pattern recognition problems, such as intelligent search engines, self-driving cars, autonomous robots, or automatic car number plate recognition systems.

Our major studies in Data Engineering and Machine Learning combine modern machine learning techniques with efficient implementation skills. Real-life deployment skills are not only about the mathematics of machine learning but also require an understanding of databases, programming languages and even hardware design; all aiming at the efficient processing of huge data masses, with the best algorithms brought by modern machine learning.... [-]

Software has an impact on nearly every aspect of modern life. This MSc programme is designed for applicants with a passion for computer science or software engineering who want to learn the knowledge and skills to develop high-quality software.

The degree programme is anchored in real-world problems and explores different software development approaches, requirements management, software modelling and specification, implementation and testing software, and software project management. The programme offers opportunities to participate in the development of software or product prototypes and the management of software projects as part of a multicultural and multidisciplinary team.... [-]

Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. As data is collected and analyzed in all areas of society, demand for professional data scientists is high and will grow higher. This interdisciplinary Data Science MSc program 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.

Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Data scientists help organizations make sense of their data. As data is collected and analyzed 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.... [-]

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 utilizing 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?

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 utilizing 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?... [-]

Software development and digitalisation are an integral part of modern society, shaping virtually everything from the objects around us to the ways in which we communicate.

The Master's Programme in Software Engineering and Digital Transformation focuses on developing advanced knowledge and expertise for the design and development of software and digital services and the digital transformation of business processes.

The programme addresses the application of engineering principles of software and systems development, including design methodologies, business process, and service modelling and re-engineering, operation principles, and maintenance and quality assurance approach.... [-]