Master On Campus

Data Science

ETH Zurich - Swiss Federal Institute of Technology

24 months
1324 EUR/year
1324 EUR/year
Tuition fee
Apply date
Start date


The specialized Data Science programme at ETH Zurich - Swiss Federal Institute of Technology, offered in collaboration with the Department of Mathematics as well as the Department of Information Technology and Electrical Engineering, provides a high quality education geared towards nurturing the next generation of data scientists.


Computers have fundamentally changed the way the world produces, manages, processes and analyzes data. In light of the continuous growth of data all around the globe, the question of how we can use data to gain valuable insights is more important than ever. How can we extract relevant information from massive amounts of data? In which way can computers learn from experience to make intelligent decisions? These questions are key to the specialized Master’s program in data science.

Research in the field of data science requires solid skills in managing and storing massive amounts of data as well as the ability to develop efficient mathematical algorithms for data analysis. These techniques are employed in complex applications in engineering and science.

Part of the Data Science programme at ETH Zurich - Swiss Federal Institute of Technology is the Data Science Laboratory, where students tackle specific and practical problems of interdisciplinary applications. In this course students engage in all tasks - from the process modelling to the implementation and validation of data science techniques.

Why study data science at ETH Zurich:

Compact and profound program: The specialized Master's program in data science equips students with all relevant knowledge and skills while combining theoretical foundations with practical experience. 

Personal choice of industry: Medicine, finance or environment: data science is used in most fields and thus enables graduates of the program to work in their industry of choice.

High demand: Regardless of the industry, most large companies have data scientists working for or with them (e.g. banking, insurance, pharma, telecommunications).

Programme Structure

The objective of the Core Courses is to ensure a high level of competence in data science. They are split into three subcategories, where the first category comprises two subcategories of its own:

  • Data Analysis: ( Information and Learning (at least 1 course) - Statistics (at least 1 course)
  • Data Management (at least 2 courses) 
  • Core Electives

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

To be eligible for admission to the Master's program in Data Science, applicants must:

  • Hold a Bachelor’s degree in computer science, mathematics, electrical engineering, physics, mechanical engineering, or a related field.
  • Must have a strong background in mathematics, programming, and algorithms.

Application with a Bachelor's degree from a Swiss University of Applied Sciences (FH): Students holding a Bachelor’s degree in computer science or a closely related field issued by a Swiss University of Applied Sciences (FH) with an excellent grade point average will be evaluated for admission to the Master's pogram in Data Science at ETH.

  • GPA:
ETH Zurich does not impose a minimum GPA, but excellent grades in the Bachelor’s degree are required.
  • GRE:
The GRE General Test is required for students who have not obtained their Bachelor Diploma in one of the EU/EFTA Member State countries.

Tuition Fee

To alway see correct tuition fees
  • International

    1324 EUR/year
    Tuition Fee
    Based on the tuition of 662 EUR per semester during 24 months.
  • National

    1324 EUR/year
    Tuition Fee
    Based on the tuition of 662 EUR per semester during 24 months.
  • Tuition fee: CHF 730/Semester

Living costs for Zürich

1920 - 2572 CHF /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Our partners

Data Science
ETH Zurich - Swiss Federal Institute of Technology


Go to your profile page to get personalised recommendations!