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9 Master's degrees in Data Analytics in Finland
When considering Data Analytics programmes in Finland, it's crucial to understand the financial aspects and availability of such programmes. The lower-end tuition fee for these programmes starts at €10,000, making it accessible for many students. The typical tuition fee, represented by the €12,000, offers a benchmark for what most students can expect to pay. On the higher end, the €15,000 sets the boundary for those looking at more premium options.
Affordability is a key concern for many, and in Finland, 1% of Data Analytics programmes are considered affordable, providing options for students with various budget constraints. Additionally, the flexibility of learning is enhanced by the 11% of programmes being available online, catering to different learning preferences and needs.
The landscape of Data Analytics education in Finland is quite extensive, with 14% of universities offering these programmes. This wide availability ensures that students have multiple choices, whether they prefer urban or rural settings, or specific university environments. Exploring these options can help students find the perfect fit for their academic and career goals in the field of Data Analytics.

Information and Communication Technology - Data Analytics
The Information and Communication Technology - Data Analytics degree offered by the University of Turku 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.

Artificial Intelligence and Analytics
Our Master’s in Artificial Intelligence and Analytics is a comprehensive and cutting-edge education programme designed for individuals who want to pursue a career in the dynamic domains of artificial intelligence, machine learning, and analytics.

Industrial Systems Analytics
This major in Industrial Systems Analytics offered by the University of Vaasa prepares you to become a future leader in the rapidly evolving energy and technology sectors. Instead of focusing only on technical details, the studies build your ability to combine engineering expertise with practical business understanding and operational excellence.
Statistical Data Analytics, Computing Sciences and Electrical Engineering
This Statistical Data Analytics, Computing Sciences and Electrical Engineering MSc programme from Tampere University features several similar topic areas as the Data Science (MSc) specialisation but the Statistical Data Analytics (MSc) specialisation places more emphasis on aspects of data science and artificial intelligence where statistical understanding and modeling of data uncertainty.
Brain and Data Science
The Erasmus Mundus Joint Master Degree in Brain and Data Science at the University of Jyväskylä offers a unique opportunity for students to earn a double master's degree. This programme spans two years, with the first year focused on foundational studies in neuroscience and data science, followed by specialised training at partner institutions.
Business Analytics
At University of Oulu, Business Analytics is a two-year international Master's programme that incorporates both theoretical knowledge and practical skills in data-driven analytics.Studies combine business and technology in a unique way, and according to your study path, you can work as a business or information analyst or data engineer.
Business Analytics
Studying in the Business Analytics programme from Aalto University gives students a unique combination of skills in leadership, business, and technology.
Data Analytics and Project Management
An Oulu University of Applied Sciences’ Master’s Data Analytics and Project Management degree provides the same eligibility as a university Master’s degree. The Oulu University of Applied Sciences (Oamk) also refers to this as a master's degree.
Artificial Intelligence and Data analytics
At Artificial Intelligence and Data analytics at the JAMK University of Applied Sciences you will gain a general overview and knowledge of potential application of data analytics and AI, machine learning, neural network methods and mathematical models behind them.