ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE · SWITZERLAND
Master of Science in Data Science
Master's · Taught in en
At a glance
24 mo
Duration
6.0
IELTS
€0k
Tuition / yr
en
Language
Master's
Level
- 120 ECTSTotal credits
- 90 ECTSMaster's cycle coursework
- 30 ECTSMaster's project
- Mandatory internshipIndustry experience
- Flexible curriculumElectives and minors
The Master's in Data Science at EPFL is an interdisciplinary program focused on extracting insights from complex datasets using computational, statistical, and mathematical methods. It prepares students to be leaders in innovation across various sectors like finance, healthcare, engineering, and AI. The program balances theoretical foundations with practical applications, covering core areas such as machine learning, natural language processing, and database systems. Graduates will possess the advanced analytical and technical skills needed for research, industry, or entrepreneurial roles, enabling them to develop cutting-edge methods, build scalable systems, and drive data-driven innovation globally. The curriculum is designed to provide a strong interdisciplinary foundation while offering flexibility through elective courses and optional minors. Students will gain expertise in extracting value from data, a critical skill in today's rapidly evolving technological landscape. The program emphasizes both the theoretical underpinnings and the practical implementation of data science techniques.
Curriculum
The program structure includes a Master’s cycle of 90 ECTS, followed by a 30 ECTS Master’s project, totaling 120 ECTS. The Master’s cycle typically spans three semesters of coursework, with a maximum duration of six semesters, all of which must be completed at EPFL. Students can pursue a complementary minor from another program. If no minor is chosen, up to 15 ECTS from unlisted courses may be used to fulfill group requirements. A mandatory internship, either an 8-week summer placement or a 6-month semester-long internship, is required. The Master’s project can be completed at EPFL, in industry, or at another university, with varying durations depending on the location.
- Master's Cycle (90 ECTS)
- Machine Learning
- Algorithms
- Natural Language Processing
- Databases
- Signal Processing
- Information Theory
- Master's Project (30 ECTS)
Careers
Graduates are equipped to lead in research, industry, or entrepreneurship, developing advanced methods, building scalable systems, and shaping data-driven innovation worldwide.
- Data Scientist
- Machine Learning Engineer
- AI Researcher
- Data Analyst
- Big Data Engineer
Frequently asked questions
- What are the academic entry requirements for the Master of Science in Data Science?
- You need a Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related field with a strong academic record. Proficiency in core data science areas is also required.
- What is the English language proficiency requirement?
- You must provide proof of English proficiency, with a minimum overall IELTS score of 6.0.
- How long does the Master of Science in Data Science program take to complete?
- The program consists of a 90 ECTS Master's cycle followed by a 30 ECTS Master's project, totaling 120 ECTS. The Master's cycle typically spans three semesters, with a maximum duration of six semesters.
- What are the tuition fees for international students?
- As a Swiss public institution, EPFL may not charge tuition fees in the traditional sense for Master's programs, but administrative fees and semester contributions may apply. Please refer to the official EPFL admission and finance pages for the most current information.
- When is the application deadline for the Master of Science in Data Science program?
- The application deadline is typically December 15th for Fall intake. Applications are submitted online through the EPFL admission portal.
- What are the career prospects after graduating from the Master of Science in Data Science program?
- Graduates are prepared for roles such as Data Scientist, Machine Learning Engineer, AI Researcher, Data Analyst, and Big Data Engineer, equipping them for leadership in research, industry, or entrepreneurship.
Entry requirements
Bachelor's degreeA strong academic record in Computer Science, Mathematics, Electrical Engineering, or a related field is required. Candidates must demonstrate proficiency in core areas relevant to data science.
IELTS6.0 overall
Admission is competitive and based on academic excellence and the relevance of the candidate's background.
Fees
Tuition (international)Tuition fees are not explicitly stated for international students and may be waived for Swiss public universities.
Tuition (home)Tuition fees are not explicitly stated for domestic students and may be waived for Swiss public universities.
LivingEstimated living costs are not provided on the program page. Prospective students should budget for accommodation, food, transportation, and personal expenses.
EPFL, as a Swiss public institution, may not charge tuition fees in the traditional sense for Master's programs. However, administrative fees and semester contributions may apply. Please refer to the official EPFL admission and finance pages for the most current information.
How to apply
1. Check EligibilityEnsure you meet the academic and English language requirements. A Bachelor's degree in a relevant field with a strong academic record is necessary. Minimum IELTS score of 6.0 is required.
2. Prepare Application DocumentsGather all required documents, including transcripts, diplomas, proof of English proficiency, and potentially letters of recommendation or a statement of purpose (check specific requirements).
3. Complete Online ApplicationSubmit your application form and upload all supporting documents through the EPFL online application system.
4. Meet Application DeadlinesEnsure your application is submitted by the specified deadline, which is typically December 15th for Fall admission.
5. Await Admission DecisionAdmission decisions are usually communicated after the application period closes. Successful candidates will receive an offer of admission.
Scholarships
General Funding OpportunitiesVaries
Frequently asked questions
What are the academic entry requirements for the Master of Science in Data Science?
+
You need a Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related field with a strong academic record. Proficiency in core data science areas is also required.
What is the English language proficiency requirement?
+
You must provide proof of English proficiency, with a minimum overall IELTS score of 6.0.
How long does the Master of Science in Data Science program take to complete?
+
The program consists of a 90 ECTS Master's cycle followed by a 30 ECTS Master's project, totaling 120 ECTS. The Master's cycle typically spans three semesters, with a maximum duration of six semesters.
What are the tuition fees for international students?
+
As a Swiss public institution, EPFL may not charge tuition fees in the traditional sense for Master's programs, but administrative fees and semester contributions may apply. Please refer to the official EPFL admission and finance pages for the most current information.
When is the application deadline for the Master of Science in Data Science program?
+
The application deadline is typically December 15th for Fall intake. Applications are submitted online through the EPFL admission portal.
What are the career prospects after graduating from the Master of Science in Data Science program?
+
Graduates are prepared for roles such as Data Scientist, Machine Learning Engineer, AI Researcher, Data Analyst, and Big Data Engineer, equipping them for leadership in research, industry, or entrepreneurship.