Master in Statistics
Master statistical thinking, computation, and data analysis at EPFL.
Best for:Best for students with strong mathematical and computational backgrounds aiming for careers in advanced data analysis and statistics.
Overview
The Master in Statistics at Ecole Polytechnique Fédérale de Lausanne is an intensive graduate program designed to train students in advanced statistical methods, computation, and data visualization. Run by the Faculty of Basic Sciences, the curriculum equips individuals with strong mathematical backgrounds to tackle data-flooded environments across diverse industries. Students gain a rigorous theoretical foundation combined with cutting-edge computational experience and collaborative teamwork skills. Graduates emerge as highly capable quantitative professionals equipped to drive sound reasoning and decision-making in any data-rich setting.
What you'll do
- Complete coursework covering core statistical theory, computational methods, and data visualization
- Engage in practical team-working and communication projects involving complex data analysis
- Apply cutting-edge computational techniques to solve real-world quantitative problems
- Develop independent capstone or thesis work utilizing advanced statistical frameworks
Requirements
Degree required: BSc in a scientific or engineering field with strong mathematical and computational components
Degree offered: Master of Science in Statistics
Language: English
Instruction: English
- Strong mathematical foundation
- Proficiency in computational methods and programming
- Aptitude for statistical thinking and quantitative reasoning
- Background in science or engineering
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Prerequisites
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How to apply
Deadline: December 15, March 31
Applicants must submit their application through the official EPFL master's admissions portal before the designated deadlines. Ensure all required academic transcripts and supporting documents are provided in accordance with university guidelines.
- Academic transcripts
- CV
- Diploma certificates
Contact
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