

MS in Data Science at EURECOM Overview
The EURECOM MS in Data Science course, recognized as a top course in the university. Students who are looking for admission, can complete their course within the duration of 24 months.
To enroll at the course, students are required to submit certain important documents which may vary on various factors including the country of origin, qualification and more. The documents required at the EURECOM for the MS in Data Science include academic qualification, test scores, English language test results, interview, CV and others. The English language tests accepted at the university are IELTS and TOEFL. Students looking for admission are suggested to enroll as early as possible because the availability of the seats is limited.
The EURECOM tuition fees for the first-year international student is EUR 6,000 for MS in Data Science. However, other than tuition fee, students should also manage their budget for food, books, supplies, utilities, etc.
Duration | 24 months Get Curriculum |
Tuition & Fees | ₹6.28 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
- Curriculum
- Entry Requirements
- Application Process
- Placements
- Highlights
- Scholarships
- Class Profile
MS in Data Science at EURECOM Fees
Students are required to pay the first-year tuition fee as per the EURECOM MS in Data Science fee structure.
The overall cost may vary depending on additional charges imposed by EURECOM. Students have to pay a total first-year tuition fee of EUR 6,000 for MS in Data Science. Refer to the table below for a detailed fee breakup of the EURECOM MS in Data Science.
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 6,28,200 |
Fees components | Amount (for 1 year) |
---|---|
Insurance | INR 22,510 |
Transportation | INR 10,470 |
MS in Data Science at EURECOM Curriculum
Check more information about the EURECOM MS in Data Science course by clicking the green button below. The Curriculum PDF covers various details and facts about the university including the specialization, courses, duration of the course, language requirement, electives and many more along with a semester-wise breakup of the course.
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MS in Data Science at EURECOM Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
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- Applicants needs:
- Bachelor's Degree (minimum 3 years of higher education) in a relevant field including undergraduate degrees in Statistics, Computer Science, Mathematics, Engineering, and Physics;
- Strong foundations in Mathematics, Calculus (limits, derivatives, series, integrals, probability, statistics, etc.), Linear Algebra, and Programming (e.g. R, Python, Java)
- Applicants needs:

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- Marks - 80/120
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- Marks - 5.5/9
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MS in Data Science at EURECOM Application Process
- Copy of ID/passport
- Certified copies of transcripts and certificates
- English Language proficiency test scores
- Financial Statement: Applicants are expected to provide a letter written (A4 Word Format) and signed by themselves or by relatives (parents) describing how they intend to pay the tuition fees and the living costs in France: personal saving, parents’ financial support, scholarship, loan
MS in Data Science at EURECOM Placements
Particulars | Statistics (2024) |
---|---|
Internship Available | Yes, The internship is to be carried out in a company or lab in France or abroad. Students work on a research/development project under the supervision of a professor and an industrial mentor EURECOM provi The internship is to be carried out in a company or lab in France or abroad. Students work on a research/development project under the supervision of a professor and an industrial mentor EURECOM provides students with an updated database of paid internship opportunities offered by companies allowing them to use this software to directly send their application to companies |
MS in Data Science at EURECOM Highlights
- The "Big Data" phenomenon is rooted in the field of data science and engineering, which aims at developing both computer and mathematical tools for data storage, processing, and analytics
- An increasing volume of data is daily produced by modern-day industrial processes (in fields such as energy, intelligent transport systems, health, tourism, and many others...), and fuelled by the rise of multimedia content being shared and the Internet of Things in our daily life
- The programme Combine computer and statistical sciences to develop cutting-edge and fundamental tools to efficiently address data processing problems
MS in Data Science at EURECOM Scholarships
Class Profile
Average class profile for this course | |
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Student Age | 22-30 |
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