There are 5 master's Data Science programmes for international students across 3 universities in Finland. Tuition is about €15k. Browse the full list below, compare entry requirements, and explore scholarships to fund your studies.
The Data Science Master's Programme is designed for individuals passionate about understanding and extracting insights from the vast amounts of data generated across industries and scientific fields. This interdisciplinary program equips you with the advanced skills and knowledge necessary to tackle complex data analysis challenges. Graduates will be prepared for roles in data-intensive sectors, contributing to solutions in both industry and research.
This Master's programme focuses on Data Science, enabling you to transform raw information into actionable insights and solutions. By combining computer science, mathematics, and statistics with modern techniques like machine learning and AI, you will learn to analyze, model, and predict using large and complex datasets. The program equips you with the skills to understand intricate systems and contribute to shaping the future across various fields, from technology and medicine to finance and society. Graduates are in high demand to address complex challenges in areas such as automated text analysis, intelligent search engines, socio-economic trend identification, and the development of autonomous systems. You will gain an interdisciplinary ability to understand the entire data science process, preparing you for diverse roles in research, consultancy, and industry. The specialisation allows you to delve deep into algorithmic and computational foundations, mastering methods from probabilistic modeling to advanced deep learning and network analysis. You will develop the critical ability to interpret results and communicate them effectively to decision-makers.
This Master's programme equips you with expertise in the chemistry and analytics essential for a circular economy. You'll gain a solid theoretical foundation in recovering, reusing, and upcycling valuable raw materials, alongside practical skills in organic and inorganic analysis. The curriculum focuses on the chemistry of circular economy, including the recovery of metals and bio-based materials, with a significant emphasis on analytical chemistry techniques. Graduates are prepared for roles in the growing chemical and forest industries focused on sustainability and resource efficiency.
The NeuroData Joint Master's Degree in Brain and Data Science is an innovative program designed to equip students with advanced knowledge at the intersection of neuroscience and data science. As the world becomes increasingly connected, the demand for professionals who can analyze complex brain data and apply data science principles to neuroscience challenges is rapidly growing across various fields including neurotechnology, healthcare, and education. This program aims to foster a new generation of multidisciplinary researchers capable of tackling the most intricate problems related to the human brain in both health and disease.
This Master's program focuses on the analysis, modelling, prediction, and computation related to big data. You will gain expertise in statistical data analytics, which is crucial for driving advancements in artificial intelligence, enabling in-depth discoveries, accurate predictions, and informed decision-making in various sectors. The program equips you with skills in data cleansing, integration, modelling, and prediction, utilizing methods from probabilistic approaches to deep learning and large language models. Graduates will be prepared to present complex data insights to decision-makers through clear summaries and visualizations.
5 across 3 universities, listed on this page.
Yes — these programmes admit international students; check each programme's entry requirements and language of instruction.