66 Computing MSc Degree Programs

You will master modern programming languages, data science and machine learning algorithms, and apply them to problems in your chosen science. You will understand the main software engineering concepts and principles involved in scientific computing and data science and use them to model complex scientific systems, giving you an edge in a competitive and fast-changing labour market. Through project work, industrial networking and visits, you will have opportunities to build contacts, opening up additional job opportunities once qualified.

The MSc Computer Simulations for Science and Engineering (COSSE) focuses on the multidisciplinary field of Computational Science and Engineering for scientific discovery and engineering design. It involves mathematical modelling, numerical analysis, computer science, and high-performance computing.

Are you looking for a route to break into the rapidly growing computing sector? This 100% online and part-time conversion degree takes you from computer science novice to capable programmer. Throughout the course, you will explore recent trends and key developments in computer science, as well as learning essential programming languages such as Python and SQL. This online MSc Computer Science will provide you with practical skills and technical knowledge across a range of essential computing topics and build key skills such as problem-solving, research and teamwork. When you complete this course, you will have a strong academic foundation to build your career in whichever area of computer science you want to work in.

The networking of humans and computers is becoming ever closer because digitalization is advancing in all areas of our lives. In order for the increasingly complex technology behind it to be future-proof and human-friendly, the human-machine interface must be adapted much more closely to human needs. This requires an interdisciplinary approach, which students in the Human-Centered Computing master's program get to know in its entirety.

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.

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.

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.

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.

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.

The Msc Applied and Computational Mathematics fosters skilled applied mathematicians, well-prepared for advanced industrial positions or PhD studies. The programme offers four tracks: Computational Mathematics, Financial Mathematics, Optimisation and Systems Theory, and Mathematics of Data Science.

The MSc in Computational Fluid Dynamics is designed to reflect the wide applications of computational fluid dynamics to gain the knowledge and appreciation necessary for a strong foundation in a career in this exciting engineering discipline. You'll learn to understand, write and apply CFD methods.

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!

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.

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.

This unique cross-discipline program combines USI's world-leading expertise in Finance and Informatics and offers exciting career prospects that range from fintech startups to banks and insurers to hedge funds. The program has been designed to provide graduates with an informatics background with the necessary tools and skills for understanding fundamental problems in finance while, at the same time, learning about advanced tools and techniques in informatics to be applied in finance.