Overview

Master of Data Science is one of the best courses to choose from that offers in-depth learning in a Data Science and Data Analytics. An MS Degree in Data Science and Data Analytics from the Ecole Polytechnique Fédérale de Lausanne has consistently made its place among the top global universities. International students prefer this course at the Ecole Polytechnique Fédérale de Lausanne due to its high graduate employability rate.

Ecole Polytechnique Fédérale de Lausanne offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Data Science and Data Analytics from the Ecole Polytechnique Fédérale de Lausanne, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at Ecole Polytechnique Fédérale de Lausanne offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Data Science and Data Analytics from the Ecole Polytechnique Fédérale de Lausanne is a great choice for students who want to analyse the field in great depth.

Why Study Data Science at Ecole Polytechnique Fédérale de Lausanne

  • A popular choice for international students with a diverse community
  • Learn from the best faculty members and become their research assistants
  • High-end labs to facilitate research work
  • Excellent placement programs after course completion


Course Highlights

Official website

link to course page

Annual tuition fees annual tution fees info

CHF 1,460 / year

Total tuition fees total tution fees info

CHF 2,190 / 18 months

interest rates
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5000+ Students

Availed education loan

3000+ Cr

Loan amount sanctioned

100% Free

Assistance for loan process

Application Fee

CHF 150


Application Deadline

December 15

  Fall round 1

Fall round 2

Apr 15, 2024

Pre-requisites

Application Pre-requisites application pre requisite

  • Online Application
  • Application Fee
  • Official Transcripts
  • Statement of Purpose
  • Resumé (Curriculum Vitae)
  • Identity Card or Passport
  • Three Recommendation Letters
  • English Language Proficiency

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Course Details

Core subject areas

  • Advanced Algorithms 
  • Applied Data Analysis 
  • Foundations Of Data Science 
  • Information Security And Privacy 
  • Machine Learning

Accreditation

Commission des Titres d'Ingénieur (Cti), Agency of Accreditation and Quality Assurance (AAQ)


FAQ