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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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26

The Master of Science in Computational Science & Engineering at the Ecole Polytechnique Fédérale de Lausanne (EPFL) is meticulously designed to equip students with vital knowledge and skills essential in the rapidly evolving field of computational science. This prestigious program, renowned for its rigorous curriculum, offers a comprehensive educational experience that integrates theoretical foundations with practical applications. Students will engage with advanced computational techniques, simulation methodologies, and algorithmic strategies, all of which are crucial for solving complex scientific and engineering problems.

The curriculum of the program comprises a blend of core courses and electives that cover a wide array of topics, including numerical analysis, high-performance computing, data science, and simulation-based modeling. Core courses such as Computational Methods for Partial Differential Equations, Advanced Scientific Computing, and Machine Learning and Data Science ensure that students develop a robust understanding of the theoretical constructs while also gaining hands-on experience through project-based learning. Moreover, students have the flexibility to tailor their study path by selecting electives that align with their specific interests and career aspirations.

EPFL prides itself on its esteemed faculty, comprising leading experts and researchers in the field of computational science. The faculty members are not only dedicated educators but also active researchers, providing students with invaluable insights into cutting-edge developments. The teaching methodology employed at EPFL emphasizes collaboration and innovation, encouraging students to work closely with faculty on groundbreaking research projects. This immersive approach not only enhances learning outcomes but also fosters an environment of creativity and critical thinking.

Research opportunities at EPFL are abundant, with access to world-class laboratories and research centers dedicated to various fields of computational science and engineering. Students will have the chance to engage in collaborative research projects that address real-world challenges, often in partnership with industry leaders and academic institutions. This hands-on experience is recognized as a vital aspect of the educational journey, allowing students to apply theoretical knowledge to practical scenarios, thus enhancing their employability upon graduation.

The university's strong connections with industry ensure that students have ample internship opportunities during their studies. EPFL's location in Vaud, Switzerland, a hub for technology and innovation, facilitates partnerships with leading companies in sectors such as finance, healthcare, and environmental science. These connections not only provide valuable work experience but also pave the way for potential employment following graduation, as many companies actively seek EPFL graduates for their problem-solving abilities and technical expertise.

Career pathways for graduates of the Master of Science in Computational Science & Engineering are diverse and promising. Alumni have successfully secured positions in various sectors, including technology, finance, consulting, and research institutions. The program's emphasis on practical skills, combined with theoretical knowledge, prepares graduates to take on roles such as Data Scientist, Computational Engineer, Research Scientist, and Machine Learning Engineer. The high employability rate of EPFL graduates is a testament to the program's excellence and industry relevance.

Alumni success stories further illustrate the program's impact, with graduates consistently sharing positive experiences about their time at EPFL and the career opportunities that followed. Testimonials highlight not only the quality of education received but also the collaborative environment and the strong networking connections forged during their studies, which have proven instrumental in advancing their careers.

What sets EPFL's Master of Science in Computational Science & Engineering apart is its unique blend of rigorous academic training, unparalleled research opportunities, and a supportive international community. The program fosters an environment where students are encouraged to think critically and innovatively, preparing them to tackle some of the most pressing challenges in science and engineering today. Furthermore, the school's commitment to maintaining state-of-the-art facilities ensures that students have access to the latest technologies and resources.

In summary, students who choose to pursue their Master of Science in Computational Science & Engineering at Ecole Polytechnique Fédérale de Lausanne will find themselves at the forefront of innovation in computational research. The combination of a robust curriculum, expert faculty, extensive research opportunities, and strong industry ties makes this program an exceptional choice for aspiring scientists and engineers.

Why Study Computational Science & Engineering at Ecole Polytechnique Fédérale de Lausanne?

  • EPFL ranks consistently among the top universities globally, ensuring a world-class educational experience.
  • The diverse student body, with approximately 30% international students, fosters a multicultural environment that enriches learning.
  • Students benefit from small class sizes that facilitate personalized attention and interaction with faculty, enhancing the learning experience.
  • Extensive research facilities and laboratories equipped with the latest technology support innovative research initiatives.
  • Strong industry partnerships provide ample internship and career opportunities, ensuring graduates are well-prepared for the workforce.
  • The program's focus on practical skills and real-world applications enhances employability and career advancement prospects.
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Total Tuition Fees

$3,000

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Duration

24 Months

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Median Salary

$1,10,000

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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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

40

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Average Age

26

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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

$1,10,000 / year

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Graduation Rate

80%

Prospective Job Roles

Computational Fluid Dynamics Engineer

Computational Designer

Computational Engineer

Computational Linguist

Computational Materials Scientist

Computational neuroscientist

Computational Scientist

Computational Chemist

Computational Mathematician

Top recruiters

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Eligibility Criteria

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At least 3 / 4 undergraduate GPA is expected.

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At least 15 years of bachelor degree.

English Proficiency Tests

  • IELTS

    7

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  • TOEFL

    95

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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

  • intake

    Transcript

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    Passport

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    Statement of Purpose

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    Resume

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    IELTS

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    Academic LOR

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    Professional LOR

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    Academic LOR

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    Class 12 Marksheets

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    Class 10 Marksheets

Application Deadlines

Standard Deadline
FallMar 31, 2025

Fees and Funding

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Tuition Fees

$1,500 / year

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Overall Cost

$17,000 / year

FAQs

  • 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.
  • No. You must choose one program and apply to this one only.

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