41 Technology MSc Degree Programs in Finland

Master in Data Science combines computer science and statistics to solve exciting data-intensive problems in industry and many fields of science. As data is collected and analysed in all areas of society, the demand for professional data scientists is high and will grow even further.

The technology industry needs young professionals with an intercultural mindset and an in-depth understanding of the latest technologies. We at Tampere University welcome engineers and engineering graduates from all over the world to study in our MSc Programme in Business and Technology (B&T) in an intercultural, business-oriented learning environment.

Cities are inspiring arenas for business, culture, and everyday life. However, they face complex challenges related to the environment and the well-being of individuals. Bachelor's Degree Programme in Sustainable Urban Development is a multidisciplinary program developing skills needed to address these challenges. Studies in the Technology field will also cover the basics of systems, information management, and project management in the built environment. Those focusing on the Technology field will acquire knowledge about mathematics and natural sciences, which are necessary elements of the Bachelor of Science in Technology Degree. Studies in the Technology field will also cover the basics of systems, information management, and project management in the built environment.

At the crossroads of human physiology and digital technology, the program in Health Technology invites you into a world of exciting challenges with purpose. Human sensing, big data, machine learning, and more – let’s make solutions for a better life!

In the Master's Programme in Global Management of Innovation and Technology, you will be exposed to concepts that you will need to be an effective manager, ranging from inventive design to strategic product and technology development, systems modelling, or open collaborative innovation. In brief, you will become familiar with the whole process from ideas to innovations to business value.

The Master’s Degree Programme in Information and Communication Technology provides versatile and high-quality ICT education in selected fields of ICT, with an established reputation in innovative interdisciplinary and international education.

Informatics solutions for the future of biomedicine. Biomedical technology is a multidisciplinary field that builds on understanding biological systems on the molecular level and develops new approaches to advance medical and biotechnological applications. The program brings together expertise and methods in many fields in natural, medical, and engineering sciences: biology, chemistry, medicine, genetics, statistics, and computational and data sciences.

Machine Learning is an engineering program, where the particular emphasis is on implementing machine learning algorithms with an application-oriented focus, with applications related to imaging, audio, or other sensor data. We study both classical and novel deep learning models as well as their software and hardware implementations. Machine learning is the core technology of artificial intelligence (AI) and is currently one of the hottest topics in information technology job markets.

Games are everywhere, and almost everybody plays. The society increasingly needs experts who understand games and game cultures. The game industry is seeking new skill sets, and game technologies are being applied in expanding areas. The Master's Degree Programme in Game Studies blends traditional humanities education with digital game development, team projects, and industry networking.

Digitalization is here to stay. The ongoing digitalization builds on an efficient communications infrastructure. The studies in communication systems and networks focus on the Future Internet and the evolving and emerging (4G, 5G, and beyond) wireless broadband and multi-service communication systems, which are crucial elements for the future connected world.

The Master's Degree Programme in Chemistry and Analytics for Circular Economy is a two-year (120 ECTS) full-time programme given in English. It is provided by the Faculty of Mathematics and Science. CACE combines the basics of circular economy as well as the recovery and upcycling of both metals and bio-based materials in its course curriculum, with a strong focus on analytical chemistry. Major subject is chemistry with a minimum of 75 ECTS, and you can choose optional studies for example from business, leadership, marketing, statistics, planetary wellbeing, information seeking, career planning, communications and language studies to fulfill 120 ECTS. Teaching includes practical hands-on training with instrumental analysis. Applications for this master's degree programme can be submitted once a year in January, and if you are accepted, your studies will begin in August. From this programme you will graduate with a Master of Science degree.

The Master's Program in Data-Centric Engineering is based on blending applied mathematics with computer science and engineering. During your studies, you will learn about artificial intelligence and machine learning and how mathematics and statistics form their basis. This will enable you to understand data and modern modeling and analysis methods, such as deep neural networks, profoundly and apply them to problems with societal impact.

The Cryptography specialisation aims to educate future experts with a strong and broad knowledge of mathematical aspects of cryptography and data security in the field of research and ICT sector.

The Software Engineering specialisation track prepares you for a full life cycle of demanding software systems, starting from their design and finishing with their implementation.

The Data Analytics track will train you for the effective use of data in research, decision-making, and society. The focus of teaching is on understanding and applying the operational principles of the key data analysis methods in practice.

The Master’s Degree Programme in High-Performance Computing combines knowledge of high-performance computing and computer systems with expertise in computational models and methods in the natural sciences. By choosing this programme, you will learn to develop and apply parallel and distributed computing methods to multidisciplinary problems. Through your studies, you will be able to develop and implement sophisticated data mining and machine learning methods for different types of data. Additionally, you will be able to keep pace with the rapid development of these technologies and apply them to solve large and challenging computational problems.