Talk to ExpertMS in Data Science at EURECOM Overview
One of the most famous programs at EURECOM is MS in Data Science at PG course with the duration of 24 months. Indian students applying for MS in Data Science program must submit all the required documents as per university guidelines. Indian students must submit proof of English proficiency exams such as IELTS and TOEFL. Indian students must apply as soon as possible, as the seats are limited. EURECOM tuition fee for first-year is Euro 6,000 (INR 664,380).
Duration | 24 months Get Curriculum |
Tuition & Fees | ₹6.60 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Data Science at EURECOM Fees
Students can pursue EURECOM MS in Data Science at an affordable cost. The university tuition fees for the program is Euro 6,000 (INR 664,380). Apart from tuition fees, students also manage additional costs such as Hostel & Meals, Transportation, Books and Supplies, Personal Expenses, etc. The total expense may vary at the university, depending on the additional charges levied by the EURECOM.
Students can check the table below for EURECOM MS in Data Science fee breakup:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 6,59,592 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 23,635 |
| Transportation | INR 10,993 |
Calculated at the exchange rate of 1 Euro = INR 109.93204 | Tuition & expenses were last updated on 13ᵗʰ December 2024MS 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
- Read less
- 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:
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 80/120
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- Marks - 5.5/9
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MS in Data Science at EURECOM Application Process
- Statement of purpose / motivation letter (2 pages maximum)
- Submit two letters of recommendation, at least one letter should be written by a professor who is well acquainted with the academic work
- Submit CV
- 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 | |
|---|---|
| Student Age | 22-30 |
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