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Computer Science● OpenMastersPreview

Master's Program in Data Sciences at EPFL

Comprehensive graduate education bridging computer science, signal processing, and statistics.

Best for:Best for quantitative graduates seeking rigorous graduate training in machine learning, statistics, and big data systems.

Ecole Polytechnique Fédérale de Lausanne · Lausanne, Switzerland · R1 · First-stage researcher
More professors at Ecole Polytechnique Fédérale de Lausanne
machine learningartificial intelligencestatisticsbig datadata miningdata privacy
This is a masters position — not a PhD studentship.
Deadline
December 15, March 31
Funding
—
2 years
Start date
—
Location
Lausanne
Switzerland

Overview

The Master's program in Data Sciences at Ecole Polytechnique Fédérale de Lausanne offers students a comprehensive education spanning all facets of modern data science. The curriculum emphasizes the interplay between computer science, signal processing, information theory, and statistics, combining rigorous theoretical foundations with practical systems challenges. World-renowned faculty members lead cutting-edge research across diverse areas including machine learning, artificial intelligence, big data, and data privacy. Students complete 120 ECTS credits to earn a Master of Science degree in Data Sciences.

data sciencemaster programcomputer sciencesignal processingstatisticsEPFLbig data

What you'll do

  • Complete coursework covering theoretical foundations and practical systems challenges in data science
  • Engage in multidisciplinary projects intersecting computer science, statistics, and signal processing
  • Participate in advanced seminars and research activities led by internationally diverse faculty
  • Fulfill the 120 ECTS credit requirements through core courses, electives, and a master's thesis

Requirements

Degree required: Bachelor of Science or equivalent degree

Degree offered: Master of Science MSc in Data Sciences

Language: English

Instruction: English

Required skills
  • Strong foundation in mathematics and computer science
  • Proficiency in programming and algorithmic problem solving
  • Familiarity with probability and statistics concepts
Nice to have
Prior coursework in machine learning or database engineeringExperience with big data frameworks or signal processing

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
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Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: March 31

Applications must be submitted online through the official EPFL master's admissions portal. Ensure all required academic transcripts and supporting documents are uploaded before the specified deadline.

Documents required
  • Academic transcripts
  • Degree certificate
  • CV
  • Statement of purpose
↗Check programme and admissions

Contact

Lab
School of Computer and Communication Sciences
Ecole Polytechnique Fédérale de Lausanne
Switzerland
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.