Магистр наук по обработке данных

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, etc.), 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 that require 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

• Combine 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 that are highly valued by corporate.

10 Top Reasons to Study at EURECOM

English as the language of work and teaching Teaching by world research leaders in their fields A leading engineering school in the field of iCt linked to top EU universities Unique lifestyle on the French Riviera between mountains and see! 100% employability 6 months after graduation Diversity and international environment Strong interaction with industry: Access to a wide range of professional opportunities Diplomas internationally recognized Location in Sophia Antipolis: a presence of top industrial companies Flexibility in building curriculum

Graduate school in France owned and administered by a Consortium of International Universities and Companies.

3 Flourishing Fields

Hands-on Approach

Enhanced employability

• A balanced approach between theoretical courses and supervised sessions in labs.
• Guest speakers from the industry.
• Long semester projects on relevant topics.
• 6-month paid master thesis/internship in a company or lab.
• EURECOM provides students with a huge database of internship opportunities with an average monthly allowance: of 1200€/month.

EURECOM offers 4 Masters in Booming Fields

Come and study cutting-edge Master's Degrees taught by internationally renowned experts in high-rate employment sectors.

• Mobile Computing Systems
• Digital Security
• Data Science and Engineering
• Internet of Things

EURECOM’s Master’s programs (“Diplôme National de Master”) are 100% taught in English fully accredited by the French State and co-delivered by the Institut Mines Télécom.

Get a competitive edge with our 2 Post Masters

• Communications for Intelligent Transport Systems
• Security in Computer Systems and Communications

EURECOM’s Post Master's degrees are 100% taught in English and are state-recognized: accreditation by the CTI (official French accreditation body of engineering studies)

Innovative Learning Methods

Use of customized platforms:

• Cloud platform Zoe
• 5G OpenAirInterface

Use of cutting-edge software (Jupyter, etc.)

Students encouraged to participate in Hacking Challenges (cf: CTF Team in Digital Security)

Feeling comfortable in a new environment is key to successful studies.

EURECOM is a school that offers personalized support at every step of a student’s life such as finding housing or dealing with administrative procedures.

EURECOM benefits from a very good professor/ student ratio with 1 professor to 8 students which creates greater proximity.

These ongoing exchanges between students and staff create strong ties that last beyond the time spent at EURECOM.

Language & Cultural Training

• A 3-week Intensive program of the French language in September
• Cultural visits and events all year long
• Weekly French courses throughout the academic year

Flexible and Relevant Curriculum