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.

Digital Marketing and Analytics is a master’s degree programme for those who want to combine business and market knowledge with digitalisation. Digitalisation provides tremendous opportunities for companies to succeed, but success requires unique skills and knowledge. This is exactly what our programme offers you: the capability to help organisations improve their understanding of the markets they operate in and how consumers of today behave in the digitalised environment.

Master in Machine Intelligence and Data Science (MIND) gives you an in-depth understanding of how to make use of data to create insights. This master's degree program is arranged so that you rapidly gain a broad knowledge of the essential concepts of big data analytics: descriptive and predictive modelling, and the construction of machine learning pipelines.

The new major in Artificial Intelligence and Data Engineering provides students with the skills and knowledge to thrive in today’s data-driven world. Upon completing the program, students will understand how AI and machine learning are transforming industries by optimizing data processing and decision-making.

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.

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.

Welcome to studying data analytics and management through information at the Oulu University of Applied Sciences! The importance of data gathered from customers by businesses and organizations has increased during the lifecycle of products and services and in the development of business.

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

Gain expertise in industrial systems design, data analytics, and quality engineering. Learn to optimize energy systems, manage projects, and drive innovation. Includes Lean Six Sigma Green Belt certification.

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.

Language use and linguistic data are essential in various disciplines today and in all areas of our digitalized society. It is widely recognized that society needs people who understand language as data, who can work analytically and can analyze linguistic data systematically. The Master's Degree Programme in Linguistic Data Sciences focuses on the interfaces between languages and digitalization in today's world.

The graduates will be experts in analytics who understand the needs of the business, industrial, and public organizations in regard to gathering, analyzing, and using digital data for decision-making, operations, and development work; be able to choose and deploy the relevant analytics theories and methods and they have gained experience in using tools and environments for solving real-life analytics problems; be able to search for, gather, and create research data and produce research reports based on scientific conduct in multi-disciplinary settings and different empirical contexts; have teamwork and project-based collaboration competencies, be able to solve problems for and with external stakeholders, and have good communication skills.