Overview
Data Science is at the forefront of the information age, and the specialised Master's programme at ETH Zurich offers a comprehensive education that combines theoretical foundations with practical applications. This programme, which spans two years, is delivered entirely in English and is a collaborative effort between the Department of Computer Science, the Department of Mathematics, and the Department of Information Technology and Electrical Engineering. It aims to cultivate the next generation of data scientists who can navigate the complexities of data in various sectors.
In today's world, the ability to manage, process, and analyse vast amounts of data is crucial. The programme addresses key questions such as how to extract meaningful insights from large datasets and how computers can learn from experience to make informed decisions. These inquiries form the backbone of the curriculum, which is designed to provide students with robust skills in data management and the development of mathematical algorithms for data analysis.
A distinctive feature of the Master's in Data Science is the Data Science Laboratory. Here, students engage in practical projects that require interdisciplinary collaboration, tackling real-world problems. This hands-on experience encompasses everything from process modelling to the implementation and validation of data science techniques, ensuring that graduates are well-prepared for the challenges they will face in the workforce.
Why Data Science at ETH Zurich?ETH Zurich is renowned for its rigorous academic standards and innovative research. The Master's programme in Data Science is compact yet profound, equipping students with the necessary knowledge and skills to excel in the field. The curriculum is designed to combine theoretical learning with practical experience, ensuring that graduates are not only knowledgeable but also capable of applying their skills in various contexts.
Graduates of this programme have the flexibility to choose from a wide range of industries, including medicine, finance, and environmental science. Data science is integral to many fields, allowing alumni to pursue careers that align with their interests and expertise. Furthermore, the demand for data scientists is high across multiple sectors, as large companies increasingly rely on data-driven decision-making.
Tuition Fee Breakdown- International Fee: CHF 730 per semester
- National Fee: CHF 730 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus- Data Management and Machine Learning
- Information and System Security
- Computer Systems
- Intelligent Interactive Systems
- Programming Languages and Software Engineering
- Theory and Algorithms
- Visual Computing
The Master's programme not only prepares students for immediate employment but also lays a solid foundation for further research and academic pursuits in data science. With its emphasis on interdisciplinary learning and real-world applications, the programme is designed to meet the evolving needs of the data science field.
Programme Structure
Courses include:
- Advanced Machine Learning
- Advanced Algorithms
- Probabilistic Artificial Intelligence
- Mathematics of Data Science
- Big Data
- Data Management Systems
- Optimisation for Data Science
- Algorithmic Foundations of Data Science
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
- Apply before , International
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Language
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Credits
Delivered
Campus Location
- Zürich, Switzerland
Disciplines
Data Science & Big Data View 11 other Masters in Data Science & Big Data in SwitzerlandWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- We are looking for applications from excellent Bachelor graduates from universities comparable to ETH Zurich that meet the degree-specific requirement profiles.
- Admissions decisions are based on the curriculum of the applicant’s Bachelor’s programme, the level of mastery reached in each subject, their personal statement, the reference letters submitted and the reputation of the university they have graduated from, among other elements
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at ETH Zurich - Swiss Federal Institute of Technology and/or in Switzerland, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents1460 CHF / year≈ 1460 CHF / year -
Domestic Applies to you
Applies to youCitizens or residents1460 CHF / year≈ 1460 CHF / year
Living costs
Zürich
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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