Data Science
University of Helsinki · Helsinki, Europe
Duration
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Tuition
€15,000/yr
sourcedIntake
Autumn 2026
English
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Autumn 2026 intake. Most universities admit on a rolling basis — we confirm the exact application deadline for your profile, free.
Course details verified 10 Sep 2026 — intakes, entry requirements and course facts · official source
Fee sourced Taken from the university's published fees page, not re-checked since — confirm it before you budget. See the university fees page.
About this programme
Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Data scientists help organisations make sense of their data. As data is collected and analysed in all areas of society, demand for professional data scientists is high and will grow higher. The digital humanities and Internet of Things, for instance, will produce a whole new range of problems and opportunities in data analysis. In the Master’s Programme in Data Science, you will gain a solid understanding of the methods used in data science. You will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science. In the Master’s Programme in Data Science, you will also be able to work on problems specific to a scientific discipline and to combine domain knowledge with the latest data analysis methods and tools. The teachers of the programme are themselves active data science researchers, and the programme is heavily based on first-hand research experience. Upon graduating from the Master’s Programme in Data Science, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. In particular, you will be able to Understand the general computational and probabilistic principles underlying modern machine learning, artificial intelligence and data mining algorithms; Apply various computational and statistical methods to analyse scientific and business data; Assess the suitability of each method for the purpose of data collection and use; Implement state-of-the-art machine learning and artificial intelligence solutions efficiently using high-performance computing platforms; Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge; Report results in a clear and understandable manner; and Analyse scientific and industrial data to devise new applications and support decision making. The Master’s Programme in Data Science is offered jointly by the Department of Computer Science, the Department of Mathematics and Statistics, and the Department of Physics, with support from the Helsinki Institute for Information Technology (HIIT) and the Helsinki Institute of Physics (HIP), all located on the Kumpula Science campus. In the applied data science studies, you can also include multidisciplinary studies from other master's programmes, such as digital humanities, and natural and medical sciences.You can find further information about the studies on the Master's programme website.
Intakes & deadlines
Autumn 2026
Dates confirmed for your profile · Open
Entry requirements
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Prerequisites
University of applied sciences Bachelor's degree
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Documents
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Fees & scholarships
€15,000/yr tuition (sourced). We confirm the exact costs and the scholarships you qualify for at University of Helsinki — free, for your profile.
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Data Science — FAQs
4 questions
Tuition is €15,000/yr. Taken from the university's published fees page, not re-checked since — confirm it before you budget. We confirm the current fee and the scholarships you qualify for — free.
The main intake is Autumn 2026. Most universities admit on a rolling basis — we confirm the exact deadline for your profile, free.
University of applied sciences Bachelor's degree
Yes — shortlisting, SOP, LOR, Resume, application, scholarships and visa guidance are all free. We're paid by partner universities, not by you.
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