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Overview
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. Artificial Intelligence is now empowering applications which requires large scale and smart processing of data to build accurate predictive models. Key Words: Big Data, Data Science , Machine Learning, Data Mining, Deep Learning, Business Intelligence, Web Science, Artificial Intelligence
Objectives:
- The Data Science and Engineering programme from EURECOM - Graduate school and Research center in Digital Science combines computer and statistical sciences to develop cutting-edge and fundamental tools to efficiently address data processing problems
- Learn how to develop methods, algorithms and software capable to extract knowledge and insights out of huge masses of heterogonous data with several dimensions.
- Provide a cohesive blend of technical classes in machine learning, data mining, information extraction and distributed systems coupled with fundamentals in Business, Innovation and Project Management to develop profiles which are highly valued by corporate
Accreditation
EURECOM teaches a Master's program ("Diplôme National de Master") in Data Science fully accredited by the French State. The teaching is done 100% in English.
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Visit official programme websiteProgramme Structure
Courses include:
- Distributed Systems and Cloud Computing
- Database Management System Implementation
- Machine Learning and Intelligent System
- Advanced topics in wireless communications
- Awareness-raising to research
- Security and privacy for Big Data and Cloud
- Computer architecture
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
IELTS 5.5
TOEFL® IBT 80
Credits
120 ECTS
Delivered
On Campus
Disciplines
Data Science & Big Data Artificial Intelligence Machine Learning View 37 other Masters in Artificial Intelligence in FranceExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
IELTS 5.5
TOEFL® IBT 80
Other requirements
General requirements
To be eligible, Candidates need
- 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)
- A certified B2 level in English. No requirement are needed in French as the program is fully taught in English.
Make sure you meet all requirements
Visit official programme websiteTuition Fee
To alway see correct tuition fees
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International
6000 EUR/yearTuition FeeBased on the tuition of 12000 EUR for the full programme during 24 months. -
EU/EEA
3000 EUR/yearTuition FeeBased on the tuition of 6000 EUR for the full programme during 24 months.
Living costs for Sophia Antipolis
640 - 950 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
EURECOM grant a limited number of scholarships in the form of a partial tuition fee waiver to highly ranked students from renowned universities.
This scholarship is worth 4.000 EUROS
Students should mention they wish to apply to this scholarship fulfilling the following questionnaire:
https://goo.gl/forms/mjFp0WJ2dU2Nak2z1EURECOM’s scholarship will be granted by each monthly admission commission.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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