otherSwitzerland · Master’sResearched 0d ago

Data Science

ETH Zurich

PortPath researches criteria from public sources and can be incomplete or out of date. Always verify against the program’s official announcement before relying on it. PortPath never predicts admission chances.

Overview

ETH Zurich's MSc in Data Science is a selective specialized master's programme. Admission is driven primarily by fit to the formal academic requirements profile in mathematics, computer science, and data-science-related preparation, plus a very good prior study record; a programme-specific motivation letter and required English proof also matter. Portfolio is not listed as an admission component for this programme.

Admission criteria

PortfolioLow

This programme's official application documents and requirement profile do not ask for a portfolio, work samples, or project submissions as an admission criterion.

Bar to clear: Not used by this program

Statement of PurposeMedium

A motivation letter is required and should explain why the applicant is choosing this specific ETH Zurich Master's programme; ETH also states that the letter of motivation is considered in holistic evaluation.

Bar to clear: About one A4 page focused on why this specific ETH Zurich Data Science MSc

Academics & GPAHigh

This is the core admissions dimension. The programme requires a qualifying bachelor's degree, strong match to a detailed requirements profile in mathematics and computer science, and a very good study performance record. ETH states applicants should generally be among the best of their cohort, and for some high-volume non-EU/EFTA countries minimum overall average grades are published for MSc Data Science.

Bar to clear: Very good record plus strong subject fit; for some non-EU/EFTA countries published minima apply (for example 3.5/4, 88/100, or 8.8/10 depending on country)

Test scoresMedium

English proof at C1 is required for admission unless an official exemption applies. Standardized tests such as GRE are only considered if required; ETH policy allows departments to require GRE for some non-EU/EFTA candidates, but no Data Science programme page found here states a mandatory GRE requirement.

Bar to clear: English C1 by the application deadline; GRE not stated as required on the Data Science programme page

Application components

Statement of purposeTranscript / GPAEnglish test report

How to stand out

→Match your prior coursework clearly to ETH's Data Science requirements profile, especially analysis, linear algebra, numerical methods, probability/statistics, algorithms, databases, complexity theory, and programming.

→Use the motivation letter to explain specifically why ETH Zurich's Data Science MSc fits your background and goals, rather than writing a generic data science essay.

→If you are from a non-EU/EFTA country, compare your current average to ETH's published Data Science minimum-grade guidance early.

→Submit an accepted English certificate that meets C1 and is still valid by the application deadline.

Source confidence

88%Well sourced

Sources

ETH Zurich Data Science MSc application documents

ethz.ch/en/studies/master/application/master-datascience.html

Official programme application page listing motivation letter and English C1 requirement.

ETH Zurich Appendix requirement profile MSc Data Science

ethz.ch/content/dam/ethz/special-interest/infk/department/Images%20and%20Content/Studies/Master/DS/MSc-DataScience-Appendix.pdf

Official requirement profile stating qualifying disciplines, detailed academic prerequisites, English C1, and very good study performance record.

ETH Zurich admission prerequisites for international Bachelor's applicants