My Master’s Journey in Data Science at ETH Zurich

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Studying at ETH Zurich is often described as a dream for aspiring scientists and engineers—and for good reason. As a recent graduate of the Data Science Master’s program, I’m excited to share my firsthand experience navigating one of Europe’s most prestigious technical universities. Whether you're considering applying, preparing for admission, or simply curious about life at ETH, this guide covers everything from academics and campus culture to living costs and career outcomes.

The insights here are rooted in personal experience but enriched with broader context to help future students—especially those from China—make informed decisions. Let’s dive in.

Why ETH Zurich Stands Out

ETH Zurich (Swiss Federal Institute of Technology) is globally renowned for excellence in science, engineering, and technology. Ranked consistently among the top 10 universities worldwide by QS, it boasts a legacy that includes Albert Einstein as an alumnus. You’ll still see his face on posters around campus—a symbolic reminder of the institution’s academic rigor and historical impact.

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The university fosters a highly international environment, particularly within graduate programs like Data Science, where students come from across Europe and beyond. With strong ties to the University of Zurich (UZH) and world-class research facilities, ETH offers unmatched academic depth and collaboration opportunities.

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Admissions: What It Takes to Get In

The Data Science Master’s program was launched in 2017 and remains relatively small compared to other departments—around 30 students per cohort when I enrolled in 2018. Today, it has grown but still maintains selective admissions standards.

Jointly offered by D-INFK (Computer Science), D-MATH (Mathematics), and D-ITET (Electrical Engineering), the program emphasizes interdisciplinary training. Most administrative functions are managed under D-INFK, making it closely aligned with the Computer Science Master.

Admission hinges heavily on academic background alignment. Applicants must meet strict prerequisites in mathematics, programming, and statistics. Those missing a few courses may receive conditional offers requiring补修 (non-credit) coursework upon arrival.

My cohort included students from CS, Mathematics, and Engineering backgrounds—many with double majors or minors. While early cohorts had only a handful of Chinese students, representation has grown steadily, reflecting increasing global interest.

Competition remains fierce—even for ETH undergraduates—so ensure your transcript demonstrates strong quantitative skills and relevant foundational knowledge.

Academic Structure and Coursework

The Data Science Master requires 120 ECTS credits, typically completed in two years (though extensions up to four years are allowed). My journey took nearly three years due to pandemic-related disruptions, while some exceptional peers finished in less than two.

Credits roughly correspond to weekly workload hours—though real effort often exceeds estimates. For example, “Big Data” was initially 8 credits but later upgraded to 10 due to its intensity.

Program Requirements:

Course overlap with other Master’s programs (like CS, Robotics, or Computational Biology) means you’ll frequently study alongside peers from different disciplines. Cross-registration with UZH further broadens academic options.

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Learning Culture: Challenging Yet Rewarding

ETH’s teaching style is deeply theoretical and rigorous. Professors often author their own materials, delivering content with precision and depth. Coming from a top-tier math undergraduate program in China, I still found the pace intense.

First semester, I took 24 credits plus German language lessons—only to realize weekends were now reserved for problem sets and group projects. Libraries and computer labs filled quickly; collaboration became essential.

Classes feature high interaction: students regularly interrupt lectures with questions, and instructors welcome debate. This dynamic environment pushed me to stay engaged and abandon old habits like phone use during lectures.

Many courses combine theory with practical projects—individual or team-based. Weekly homework isn’t always graded but serves as vital preparation. Skipping it? You’ll likely feel the consequences during exams.

Understanding ETH’s Unique Exam System

Exams fall into two categories:

  1. End-of-Semester Exams: Held just before winter or summer breaks.
  2. Session Exams: Conducted after holidays—January–February and August–September.

Most major courses use session exams, effectively cutting vacations in half. I spent July preparing for August exams—arriving at the CS library before opening time just to secure a seat.

This system demands discipline and long-term planning. But it also allows deeper focus without concurrent lectures.

Campus Life Beyond the Classroom

ASVZ: Fitness Culture at Its Finest

ASVZ offers over 100 sports courses—from yoga and ballet to rock climbing and parkour—all included in tuition (about CHF 30/semester). During semesters, gym spaces like Polyterrasse overflow after 5 PM.

Even holiday programs like windsurfing camps are available (some at extra cost). I often prioritized scheduling ASVZ classes over social events—it’s that good.

Student Organizations & Events

VSETH (student union) and VIS (CS student association) host regular events:

Polyball transforms ETH’s main building into a vibrant celebration with multiple music zones, live performances, and dancing until dawn. Tickets are pricey, but volunteering can reduce costs.

Living in Zurich: Costs, Culture, and Convenience

Cost of Living

While Switzerland is expensive, studying at ETH is surprisingly affordable compared to U.S. counterparts.

Total monthly budget: CHF 1,800–2,500 depending on lifestyle.

Earning While Studying

Several financial support options exist:

Many students balance part-time work with studies—especially those aiming to extend their stay post-graduation.

Cultural Insights: Order, Precision, and Outdoor Living

Zurich reflects Swiss values: punctuality, rule-following, and environmental responsibility.

Career Prospects After Graduation

Working in Switzerland

While desirable—thanks to high salaries and work-life balance—securing a job post-study poses challenges:

However:

Many alumni go on to roles in Germany, Netherlands, or return home—leveraging ETH’s strong reputation across Europe.

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Frequently Asked Questions (FAQ)

Q: Is the Data Science Master at ETH taught in English?
A: Yes. All core courses are in English, though optional German classes are available for integration.

Q: Can international students work off-campus?
A: Yes—up to 10 hours/week during term; full-time during holidays with proper permits.

Q: How competitive is the ESOP scholarship?
A: Highly competitive. Strong GPA, research experience, and recommendation letters improve chances.

Q: Are internships part of the curriculum?
A: Not mandatory. However, many students complete semester projects with industry partners or pursue independent internships.

Q: What housing options are available?
A: Student dorms (limited availability), private shared apartments (WG), or studio rentals. Start searching early!

Q: Is Zurich safe for international students?
A: Extremely safe. Low crime rates, clean public spaces, and efficient emergency services make it ideal for focused study.

This journey through ETH Zurich was demanding—but profoundly rewarding. From mastering complex algorithms to dancing at Polyball under crystal chandeliers, every moment shaped my growth. If you're passionate about data, innovation, and immersive learning in one of the world’s most livable cities, ETH awaits.