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. Artificial Intelligence is now empowering applications which requires large scale and smart processing of data to build accurate predictive models.

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 which are highly valued by corporate

Admission requirements:

To be eligible for the Data Science and Engineering Master, 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. Also, French classes will be compulsory during your stay at EURECOM, the obtention of a A2 certification being needed to obtain the degree.

Course description:

Students need to validate a certain amount of credits per Teaching Unit each semester. The curriculum offers great flexibility by offering many electrive courses. Please consult the Academic Schedule and the Frequently Asked Questions for more Information about the schedule organisation.