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QS Rank:

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14

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Ecole Polytechnique Fédérale de Lausanne

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Vaud

Switzerland

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Program Rank

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69

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.

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Total Tuition Fees

$2,340

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Duration

18 Months

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Median Salary

$1,08,000

Ranking

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#70

US World and News Report

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#40

The World University Rankings

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#14

QS World University Rankings

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Fall ( Sept - Nov )

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Spring ( Apr - June )

Class Profile

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Average Age

20

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Average Work Experience

2 Years

Diversity

North America:

5%

Africa:

1%

Others:

2%

Asia:

10%

South America:

2%

Switzerland:

50%

Europe:

30%

Career Outcomes

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Median Earnings After Graduation

$1,08,000 / year

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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

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    100

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  • IELTS

    7

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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.

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Application Fee: 150

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    Transcript

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    Passport

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    Resume

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    Degree Certificate

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    Academic LOR

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    Academic LOR

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    Professional LOR

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    Statement of Purpose

Application Deadlines

Standard Deadline
SpringOct 1, 2024

Fees and Funding

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Tuition Fees

$1,560 / year

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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.


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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