Master's in Data Science in Switzerland
There are 3 master's Data Science programmes for international students across 2 universities in Switzerland. Tuition ranges from free to €8k. Browse the full list below, compare entry requirements, and explore scholarships to fund your studies.
Data Science
The Master's program in Data Science at EPFL is designed to equip students with a comprehensive understanding of how to extract insights from vast, complex, and often diverse datasets. As mobile devices, sensors, web logs, and transactions generate an ever-increasing volume of data, this program places students at the forefront of this data revolution. You will explore foundational concepts and practical implementations, covering everything from algorithms and database architecture to information theory and machine learning. This interdisciplinary program is a collaborative effort between EPFL's School of Computer and Communication Sciences, the School of Basic Sciences (Mathematics), and the School of Engineering (Electrical Engineering). It aims to develop experts capable of navigating the challenges and opportunities presented by Big Data, preparing them for innovative applications across all sectors of the economy.
Data Science
In the Master's program in Data Science at the University of Zurich, you will gain the skills to analyze large datasets, identify patterns, understand relationships, and present findings in engaging formats. This program draws on knowledge from statistics, informatics, and cognitive sciences, providing a strong foundation for making informed decisions in various sectors. You will learn to tackle complex, non-standard data problems independently, acquire necessary knowledge, and develop appropriate systems and solutions.
Master of Science in Data Science
The Master's in Data Science at EPFL is an interdisciplinary program focused on extracting insights from complex datasets using computational, statistical, and mathematical methods. It prepares students to be leaders in innovation across various sectors like finance, healthcare, engineering, and AI. The program balances theoretical foundations with practical applications, covering core areas such as machine learning, natural language processing, and database systems. Graduates will possess the advanced analytical and technical skills needed for research, industry, or entrepreneurial roles, enabling them to develop cutting-edge methods, build scalable systems, and drive data-driven innovation globally. The curriculum is designed to provide a strong interdisciplinary foundation while offering flexibility through elective courses and optional minors. Students will gain expertise in extracting value from data, a critical skill in today's rapidly evolving technological landscape. The program emphasizes both the theoretical underpinnings and the practical implementation of data science techniques.
Frequently asked questions
How many Data Science programmes are there in Switzerland?
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3 across 2 universities, listed on this page.
Can international students apply?
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Yes — these programmes admit international students; check each programme's entry requirements and language of instruction.