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Search MSc Programs in Artificial Intelligence in Finland 2019

The Master of Science, or MSc, is an academic degree awarded to those who effectively complete about two years of intensive study on a given topic. Many MSc courses offer a combination of classroom and research-based curriculum.

Artificial intelligence is far more than the media portrayal of this subject; it is the leading edge of software solutions. This field of computer science is useful for data managers, engineers, researchers and machine learning developers.

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.

Top MScs in Artificial Intelligence in Finland 2019

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3 Results in Artificial Intelligence, Finland

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Aalto University

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

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.

Study objectives

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.... [-]

Finland Espoo
September 2019
Full-time
2 years
Campus
Aalto University

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 caree ... [+]

Study objectives

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

bioinformatics, computational astrophysics, biology, and medicine, interactive technologies, information retrieval, information visualization, neuroinformatics, and social-network analysis. ... [-]
Finland Espoo
September 2019
Full-time
2 years
Campus
Tampere Universities

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 c ... [+]

Intelligent robots of the future

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.... [-]

Finland Tampere
August 2019
Full-time
2 years
Campus