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.

Digital technologies play a significant role in all areas of life. Modern societies need professionals with a thorough understanding of how to design and develop user-friendly, innovative, and sustainable products and services and engaging ways to interact with them.

System-on-Chips run the world everywhere as the heart of phones, computers, data centers, buildings, factories, and anywhere data is processed. Tampere region has a very strong industrial cluster in intelligent machines, embedded systems, and telecommunications demanding state-of-the-art chips, and the need for experts in the field of SoC is great.

Are you fascinated by electrical engineering and want to have an impact in building a more sustainable future society? Come to study Power Electronics and Electromechanics in our Master’s program. You will learn about state-of-the-art and cutting-edge technologies and find applications in renewable energy sources, smart grids, and variable speed drives – to name only some!

The Bachelor’s Programme in Science and Engineering is a cross-disciplinary degree program that provides you with a solid grounding in several core fields of engineering and the ability to follow rapid technological developments and apply scientific methods. The major subjects available are Signal Processing and Machine Learning; Software Development; Power Engineering; Communications Engineering; Electronics and Embedded Systems.

Security and privacy are fundamental concepts in the digital age. Real-world implications and applications are everywhere around us: the browser you use to shop over the Internet, the mobile phone you hold conversations over, the bank card in your wallet, the way you travel, the car keys in your pocket, to casting electronic votes.

Statistical Data Analytics (M.Sc.) teaches you to understand data analysis and master necessary skills, such as data cleansing, integration, modeling and prediction, and interactive exploration of data and models. You will learn methods ranging from probabilistic approaches through efficient data mining algorithms to flexible deep learning with neural networks. You will also learn to present data analysis results to decision-makers with descriptive summaries and visualizations.

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.

Big data and data-driven methods are at the center of modern computer science, statistics, and computer engineering and hold great promise for the future. Experts in analyzing data are needed for solving challenging data-driven problems such as understanding text documents, conversation, and social media; creating intelligent search engines; finding data-driven insights into phenomena of society, economy, and culture; creating data-driven solutions for medical and biological problems, and enabling self-driving cars and autonomous robots.

Smart grids are designed to enhance the effectiveness, stability, and reliability of the systems and to integrate distributed energy resources into system management. They are essential for increasing the share of renewable energy sources without compromising competitiveness and system security. The Master's Degree Programme in Smart Grids develops systems thinking skills and provides students with a comprehensive range of technical design and analysis skills.