Name: Masters
Price: 1560 USD

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QS Rank:

Ecole Polytechnique Fédérale de Lausanne

Vaud

Switzerland

Program Rank

Overview

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The Master of Data Science is a top-ranked program that provides in-depth training in Data Science and Data Analytics. An MS in Data Science and Data Analytics from Ecole Polytechnique Fédérale de Lausanne is consistently ranked among the best in the world. International students choose this program at Ecole Polytechnique Fédérale de Lausanne because of its high graduate employability rate. Ecole Polytechnique Fédérale de Lausanne provides exceptional education quality, cutting-edge practical training, and ample employment opportunities to its international students. After completing their MS in Data Science and Data Analytics from Ecole Polytechnique Fédérale de Lausanne, students will be prepared to conduct extensive research in the field. The interactive curriculum, extensive research opportunities, and outstanding teaching faculty at Ecole Polytechnique Fédérale de Lausanne provide students with a life-changing learning experience. A Master of Science degree will help students become creative and independent researchers. Overall, an MS in Data Science and Data Analytics from Ecole Polytechnique Fédérale de Lausanne is a great choice for students who want to study the field in depth. Here are some reasons to study Data Science at Ecole Polytechnique Fédérale de Lausanne: * It is a popular choice for international students with a diverse community. * Students can learn from the best faculty members and become their research assistants. * The university has state-of-the-art labs to facilitate research work. * Graduates have excellent job prospects after completing the program.

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

Average Work Experience

2 Years

Language Test Scores

Minimum Score

100 / 120

Minimum Score

7 / 9

Diversity

North America:

Africa:

Others:

Asia:

10%

South America:

Switzerland:

50%

Europe:

30%

Admissions

Application Deadlines

Spring

Round	Deadline	Decision
Standard Deadline	Oct 1	NA

Eligibility Criteria

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.

Additional information

Admission principles

Admission decisions are based on the curriculum of the Bachelor’s program, your grades, the statement of purpose, the reference letters, the academic reputation of your school and other elements.

GPA

Excellent Bachelor-level grades are expected.

Language requirements

The program is taught entirely in English. Therefore, excellent English language skills are required to follow the master’s program in data science. English language certificates (e.g., TOEFL, IELTS, etc.) are welcome but not compulsory.

Financial support

Financial support is available primarily through the Research Scholars MSc program, which provides financial support from the first days of studies and is open to all students. It gives a student an opportunity to work on research projects in one of the laboratories of our school. Additionally, EPFL awards a small number of Master Excellence Fellowships that provide financial support. Students can also arrange research assistantships paid by the hour in direct communication with the professor of the hosting laboratory; these are part-time during the semester and up to full time during the holidays. Hourly research may commence from the start of studies for Swiss and EU students or after an initial six-month period for all remaining students.

Application Requirements

What Really Matters When Applying

Transcript
Required
Passport
Required
Resume
Required
Degree Certificate
Required
Academic LOR
Required
Academic LOR
Required
Professional LOR
Required
Statement of Purpose
Required
Application Fee
150

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

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.