MSc Data Science is one of the Master's programs at École Polytechnique Fédérale de Lausanne (EPFL), taught through the School of Computer and Communication Sciences at Switzerland's French-speaking federal institute of technology. EPFL is consistently ranked among the world's top 30-40 universities and is particularly strong in engineering, computer science, and the physical sciences, sharing governance under the same Swiss Federal Institutes of Technology (ETH) Board as its German-speaking sister institution, ETH Zurich. Unlike EPFL's Bachelor's programs, which are primarily taught in French, Master's-level programs including Data Science are taught fully in English, making this the realistic entry point for most international applicants without French fluency.
This guide walks through what it takes to get into EPFL's MSc Data Science: acceptance rate realities, cost, requirements, English-test rules, and what graduates go on to do.
Acceptance Rate
EPFL does not publish a Master's acceptance rate in the way US or UK universities do, mirroring the model at its sister institution ETH Zurich. What we know, grounded in EPFL's own admissions structure:
- EPFL's Master's admission is credential-based rather than a holistic-review competition: applicants are assessed against programme-specific and country-specific academic criteria, not ranked against each other in a single admit-rate calculation.
- Data Science sits within the same School of Computer and Communication Sciences as EPFL's Computer Science Master's, one of EPFL's most in-demand departments internationally, so applicants should expect genuine competition for a limited number of places even without an official percentage to quantify it.
- No official EPFL-wide or Data-Science-specific acceptance rate exists publicly at the time of writing.
Bottom line: treat any specific "EPFL Data Science acceptance rate" percentage quoted elsewhere with skepticism, since it is not a figure EPFL itself publishes. Approach the program as genuinely selective given its strong research profile, while recognizing that EPFL's process is fundamentally a credential and fit assessment rather than a numbers-driven contest.
Fees and Cost of Attendance
EPFL underwent a substantial tuition restructuring in 2025, described in multiple sources as a "tripling of tuition fees," and conflicting per-semester figures (CHF 633, 730, 780, 1266, and 2240 have all appeared across different sources depending on the date and what is included in the invoice) mean no single current tuition figure can be confirmed with confidence at the time of writing. Unlike ETH Zurich, EPFL does not differentiate tuition between domestic and international students.
What can be said reliably:
- EPFL's tuition, even after the 2025 increase, remains low relative to comparable UK, US, or Australian master's programs, consistent with the broader Swiss federal-institute funding model.
- Living costs in Lausanne, on Lake Geneva, are substantial, though EPFL does not publish an official living-cost figure the way ETH Zurich does; expect costs broadly comparable to (though likely somewhat below) Zurich's, one of the most expensive cities in the world.
- Given the fee uncertainty, applicants should confirm the exact current rate directly at epfl.ch's tuition and fees page before finalizing any financial plan, rather than relying on a specific number from a third-party source.
EPFL's flagship Excellence Fellowships provide merit-based funding, typically a living-cost stipend for the regular duration of the Master's program, for top-ranked incoming applicants who submit a separate fellowship application alongside their Master's application.
Admission Requirements
EPFL evaluates prior Bachelor's degree performance against programme-specific and country-specific criteria rather than a single university-wide GPA scale. Based on EPFL's published Master's requirements:
- Online application via EPFL's admissions system
- Bachelor's degree transcript and diploma, assessed against Data-Science-specific admission criteria (a Bachelor's in computer science, mathematics, statistics, or a closely related quantitative field is the realistic baseline)
- English language proficiency test score (IELTS/TOEFL), required for this English-taught programme
- Motivation letter and/or CV, required by some departments
EPFL's Master's applications for the following autumn semester are commonly due around November-December, though the exact date should be confirmed on EPFL's own admissions page, since it can vary by department. EPFL does not require GRE or GMAT scores for its Master's programs generally.
How to Get Into EPFL's MSc Data Science
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Make sure your Bachelor's degree is a strong quantitative match. EPFL assesses your prior degree against programme-specific criteria rather than a single GPA cutoff, but a computer science, mathematics, statistics, or closely related engineering background is the realistic baseline for admission.
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Highlight applied data-science experience, not just coursework. Projects involving statistical modeling, machine learning, or large-scale data analysis, whether from coursework, internships, or independent work, help distinguish an application in a genuinely competitive department.
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Apply well ahead of the November-December deadline. Because EPFL's Data Science Master's draws a large, strong international applicant pool, submitting a complete, polished application in good time avoids last-minute issues with transcripts or supporting documents.
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Clear the English proficiency bar comfortably, not exactly. EPFL's research-intensive project culture expects strong written and spoken communication from day one; a stronger-than-minimum score removes any doubt about your readiness for coursework taught entirely in English.
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Apply for the Excellence Fellowship alongside your Master's application if you're a top-ranked candidate. This is a separate application submitted at the same time as your main Master's application, not something you can apply for after admission, so don't miss the window if you want to be considered.
English Proficiency Requirement (IELTS/TOEFL)
EPFL's Bachelor's programmes are taught primarily in French, so IELTS/TOEFL are not the relevant test at that level. At Master's level, where Data Science is taught in English, the following figures apply:
- IELTS Academic: commonly cited standard of 7.0 overall
- TOEFL iBT: commonly cited standard of 100 overall
These figures are inferred from the standard commonly cited at EPFL's sister institution ETH Zurich, given the two institutions' shared federal ETH Board governance and broadly comparable admissions philosophy; they were not independently re-confirmed on EPFL's own site this session, so always verify the exact current requirement on your specific programme's admission page before relying on it. Applicants who hold a Bachelor's or Master's degree taught and examined entirely in English are generally exempt from the requirement, with exact waiver criteria set per programme.
Career Outcomes
EPFL does not publish graduation, employment, or starting-salary figures broken out specifically for MSc Data Science, so treat any precise number quoted elsewhere with caution. What is well documented:
- EPFL's graduate-level (Master's) reported recruiter relationships include Google, McKinsey & Company, Nestlé, Novartis, and Logitech, reflecting both strong technology-sector demand for data-science skills and Switzerland's broader life-sciences and consumer-goods employer base, both heavy users of applied data science and analytics talent.
- EPFL's research culture has produced well-known alumni innovations, including Velcro (George de Mestral) and the Nespresso single-serve coffee system (Eric Favre), reflecting a strong applied-engineering and entrepreneurial track record across EPFL's technical schools.
- EPFL's roughly 48% international student share, one of the highest in this dataset, points to genuinely global graduate outcomes rather than a Switzerland-only career pipeline.
FAQ
Does EPFL publish an acceptance rate for MSc Data Science? No. EPFL does not publish a Master's acceptance rate for Data Science or any program, mirroring its sister institution ETH Zurich's credential-based (not holistic-competition) admission model.
How much does EPFL's MSc Data Science cost? EPFL underwent a 2025 tuition restructuring with conflicting reported per-semester figures (from roughly CHF 633 to CHF 2,240 across different sources), so no single current figure can be confirmed with confidence. Confirm the exact current rate directly on epfl.ch before finalizing your financial plan.
What IELTS or TOEFL score do I need for EPFL's Data Science Master's? A commonly cited standard, inferred from EPFL's sister institution ETH Zurich, is IELTS 7.0 overall or TOEFL iBT 100, but EPFL sets exact thresholds per programme, so always confirm the current figure on your specific programme's admission page.
Do I need IELTS or TOEFL for EPFL's undergraduate degrees? Generally no. EPFL's Bachelor's programmes are primarily taught in French, so French-language proficiency and your underlying school-leaving qualification matter far more than an English test at that level. EPFL does not offer a standalone undergraduate Data Science degree; Computer Science is the closest Bachelor's-level equivalent.
Is the GRE or GMAT required for EPFL's Data Science Master's? No. GRE/GMAT are not standard requirements for EPFL Master's programs generally.
What is EPFL's relationship to ETH Zurich? EPFL and ETH Zurich are Switzerland's two federal institutes of technology, both governed by the same Swiss Federal Institutes of Technology (ETH) Board. ETH Zurich is in German-speaking Zurich; EPFL is in French-speaking Lausanne. They are often considered sister institutions with comparable prestige and admissions philosophy, though EPFL does not differentiate tuition by domestic/international status the way ETH Zurich does.