QS Rank:

14

Ecole Polytechnique Fédérale de Lausanne

Vaud
,Switzerland

Program Rank

69

Program Name
Masters in Data Science

Deadline
October 01st, 2024
Overview

The Master of Data Science program at Ecole Polytechnique Fédérale de Lausanne (EPFL) stands as a beacon for aspiring data professionals, providing a robust education tailored to meet the evolving needs of the industry. As a top-ranked program, it combines theoretical knowledge with practical skills, ensuring students gain a comprehensive understanding of both Data Science and Data Analytics. The curriculum is meticulously crafted to encompass a wide array of subjects, including statistical modeling, machine learning, data mining, and big data technologies, thereby equipping students with the tools necessary to thrive in today's data-driven world.
The program spans 18 months, allowing students to immerse themselves fully in the diverse aspects of data science. Students engage with an interactive curriculum that emphasizes both individual and collaborative projects. This hands-on approach fosters critical thinking and problem-solving skills, essential for navigating complex data challenges. Courses such as Big Data Technologies, Data Visualization, and Machine Learning Algorithms are designed to provide a solid foundation and advanced insights into the latest methodologies utilized in the field. Additionally, students will participate in various workshops and seminars that cover emerging trends and technologies, ensuring they remain at the forefront of the discipline.
At EPFL, the faculty is celebrated for their expertise and industry connections. They are not only top-notch researchers but also experienced practitioners themselves. This unique blend of academia and industry experience translates into a rich learning environment where students can benefit from real-world insights and mentorship. Faculty members are deeply involved in research projects, providing students with opportunities to contribute to groundbreaking studies and initiatives. This mentoring relationship often leads to collaborative publications and presentations at international conferences, significantly enhancing the students' academic profiles.
Moreover, the program emphasizes the importance of practical experience through various research opportunities and industry internships. EPFL boasts state-of-the-art laboratories and facilities, offering students direct access to cutting-edge technologies and resources. The university maintains strong partnerships with leading companies and organizations, facilitating internship placements that allow students to apply their knowledge in real-world settings. These experiences not only enrich their learning journey but also significantly improve employability, with a staggering job placement rate of 90% among graduates.
Graduates from the program have an impressive array of career pathways available to them. Alumni have successfully secured roles as Big Data Analysts, Data Scientists, Business Analysts, and more, in prestigious firms across the globe. The median base salary for graduates stands at $108,000, reflecting the high demand for skilled data professionals in the job market. EPFL’s alumni network plays an instrumental role in supporting new graduates, providing mentorship and connections that can lead to lucrative job opportunities.
**Why Study Master of Data Science at Ecole Polytechnique Fédérale de Lausanne?**
- Internationally Ranked Program: Consistently ranked among the best programs globally, EPFL offers a prestigious degree recognized by employers worldwide.
- Diverse Community: With a 30% international student body, students benefit from diverse perspectives and networking opportunities.
- Experienced Faculty: Learn from leading experts in the field, with faculty members who have extensive industry experience and are involved in cutting-edge research.
- State-of-the-Art Facilities: Access modern labs and essential resources that facilitate innovative research and hands-on learning.
- Internships and Industry Connections: Benefit from strong partnerships with industry leaders that provide valuable internship opportunities and real-world experience.
- Career Advancement: High job placement rates and competitive salaries for graduates, ensuring a promising return on investment.
The application process for the Master in Data Science at EPFL requires several essential documents. Applicants must submit a completed application form along with a non-refundable application fee of $150. Required documents include an official transcript, two academic letters of recommendation, one professional letter of recommendation, a comprehensive resume, and a personal statement outlining the applicant's goals and aspirations.
In terms of language proficiency, while standardized tests like TOEFL or IELTS are not mandatory, they are highly recommended for non-native speakers to demonstrate their English language skills. For TOEFL, a minimum score of 100 is required, while an IELTS score of 7.0 is preferred.
Overall, the Master of Data Science program at Ecole Polytechnique Fédérale de Lausanne offers an exceptional opportunity to delve deep into the world of data and analytics. With its rigorous academic curriculum, outstanding faculty, and strong industry ties, it is the ideal choice for students looking to advance their careers in this dynamic field. Don't miss the chance to be part of this vibrant academic community and set yourself up for a successful future in data science.

Total Tuition Fees
$2,340

Duration
18 Months

Median Salary
$1,08,000
Ranking
#70
US World and News Report
#40
The World University Rankings
#14
QS World University Rankings

Intake
Fall ( Sept - Nov )

Intake
Spring ( Apr - June )
Class Profile

Average Age
20

Average Work Experience
2 Years
Diversity
North America:
5%Africa:
1%Others:
2%Asia:
10%South America:
2%Switzerland:
50%Europe:
30%Career Outcomes

Median Earnings After Graduation
$1,08,000 / year

Job Placement
90%
Prospective Job Roles
Big Data Analyst
Statistician
Data Visualization Specialist
Database Administrator
Data Scientist
Business Analyst
Marketing Manager
Big Data Engineer
Data Science Manager
Data analyst
Top recruiters










Eligibility Criteria
English Proficiency Tests
TOEFL
100
IELTS
7
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 150
Transcript
Passport
Resume
Degree Certificate
Academic LOR
Academic LOR
Professional LOR
Statement of Purpose
Application Deadlines
Standard Deadline | |
---|---|
Spring | Oct 1, 2024 |
Fees and Funding

Tuition Fees
$1,560 / year

Overall Cost
$29,340 / year
Funding Options
Department Funding
Scholarships
In order to reward the most outstanding students who are beginning their Master’s studies, EPFL offers a limited number of excellence fellowships, along with guaranteed housing, to candidates who have achieved remarkable academic results and who distinguish themselves in extracurricular activities, whether sporting, artistic, civic, or entrepreneurial.
- The funding of the entire studies must be secured before joining EPFL (information from the Swiss Confederation and the Canton of Vaud).
FAQs
No, there is no application fees but there you can find information about enrollment fees here.
As a general rule, the EPFL Doctoral School does not require GRE, TOEFL or IELTS results. Nevertheless, a specific doctoral program may decide to require one or more of these certificates, or may take it into consideration when evaluating your application. You should check with the doctoral program you wish to apply to – usually you will find this information on their website.
To be eligible for a master’s program in data science, candidates must either: hold a bachelor’s degree in communication systems or computer science, or hold a bachelor’s degree in a related field such as electrical engineering, mathematics, mechanical engineering or physics, with excellent results: additional admission requirements (bachelor’s courses) might apply, or hold a HES bachelor’s degree in communication systems (from a Swiss University of Applied Sciences) with a grade point average of 5.0: 60 credits of the HES Gateway must be acquired before the admission to the master’s program in data science is effective.
All students have the possibility to pursue a 30-credit Minor in Management, Technology and Entrepreneurship (MTE). EPFL also offers a 120-credit Master program in MTE and a 120-credit Master program in Sustainable Management and Technology.
No. The entire program must be completed at EPFL.
No. You can apply to only one program per year. Therefore, you have to select carefully the program you wish to apply for.
Decisions are sent early April for applications registered by December 15th and end of June for applications registered by March 31st.
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