Master's Degree in Big Data in Ile-de-France in France

Compare Masters Programs in Big Data 2017 in Ile-de-France in France

Big Data

A masters refers to the completion of a graduate study program that prepares students to further their knowledge of a specific subject or advance their careers. The majority of masters are granted by state or public universities.

A student who does well in advanced mathematics and computer science may choose to study big data. This field deals with large data sets that must be analyzed as a unit instead of as individual points. There are applications for both the public and private sectors.

France is currently among the 20 best performing countries in terms of the economy due to their excellent results-oriented higher education learning. Most of the courses at universities are offered in the French language. France has 60 public and 100 private universities.

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Master in Data Science (DSC)

EIT Digital Master School
Campus Full time 2 years September 2017 France Paris

Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. [+]

Masters in Big Data in Ile-de-France in France. Why study Data Science? Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. What are the carier opportunities for Data Science graduates? Become a professional for a career in a highly innovative area: data science. The profession in Data Science is hailed as the “… Sexiest Job of the 21st Century,” by Harvard Business Review in October 2012. The Data Scientist is a professional who simultaneously possesses breadth and depth in scalable data management, data analysis, and domain area expertise, and who is capable of solving real-world problems. This is an opportune time to pursue training in both a challenging and rewarding new field. Join us and embark on a journey of a lifetime! Why Data Science at EIT Digital? Getting value, meaning and answering big questions, are the ultimate goals of Learning Data Science at EIT Digital. Mazen Aly Data Science Master student Eindhoven University of Technology Study Data Science at EIT Digital, where education is provided by renowned universities and where entrepreneurial data scientists of the future are come to being! Farideh Heidari Data Science Coordinator What is Data Science Master at EIT Digital all about? The newly established Data Science Master’s offers a unique academic programme, whereby students can study data science, innovation, and entrepreneurship at leading European universities. In this programme, students will learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization, and related concepts (e.g., data access, pricing data, and data privacy). How is the programme structured? The first year will be similar at all three DSc entry point universities: Universidad Politecnica de Madrid (UPM), Eindhoven University of Technology (TU/e), and Universite Nice Sophia Antipolis (UNS) with foundations courses, such as data handling, data analysis, advanced data analysis and data management, visualization, and applications. The second year will enable students to concentrate one of six technical specialisation areas of their own choosing. See: specialisations below. An important part of the programme are the Innovation and Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business & management. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT-Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Where can I study if I choose Data Science? Entry - 1st year Eindhoven University of Technology (TU/e) Universidad Politecnica de Madrid (UPM) Universite Nice Sophia Antipolis (UNS) Exit - 2nd year, specialisation Internet of Things (IoT) at UPM Multimedia and Web Science for Big Data at UNS Process Mining at High Tech Systems, Healthcare, Visual Analytics or Big software at TU/e Distributed Systems and Data Mining for Really Big Data at KTH Design, Implementation, and Usage of Data Science Instruments at TUB Specific Admission Requirements A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics. [-]

Master in Big Data and extreme computing

ITMO University, St. Petersburg
Campus Full time 2 years

Big Data is located not only in high-tech laboratories and institutes. Big Data can be found near to us, e.g. in complex social networks, cloud multimedia services etc. The problems in distributed storage, transfer and processing of big amount of data are on the frontiers of modern branch of IT. [+]

Big Data and extreme computing Objective of the Programme: Big Data is located not only in high-tech laboratories and institutes. Big Data can be found near to us, e.g. in complex social networks, cloud multimedia services etc. The problems in distributed storage, transfer and processing of big amount of data are on the frontiers of modern branch of IT. High performance computing and distributed data processing, special hardware architectures and telecommunications, domain specific languages and host of other things are required to solve these problems. The graduate will be in demand in the international job market, since big data is spread in all areas of life. Language: English The program is focused: on applicants with an applicable Bachelor's degree, fluent in English and planning a future career in high-tech international companies, both in Russia and abroad. WHY MASTER IN BIG DATA AND EXTREME COMPUTING AT ITMO UNIVERSITY? The courses in Big Data and Extreme Computing are taught by leading professors in computational science and HPC of ITMO University and leading international scholars This program contains extracurricular courses in English: Academic English and Scientific Writing. These courses are built including cultural study of the language aiming to prepare the students to face the English speaking community and academic environment Our students have good facilities for study, including discounts on tuition fee, ability to work at ITMO and earn extra awards, opportunity to win special scholarships and student grants Department of HPC has modern classrooms and laboratories with state-of-the-art computer equipment and software Teaching staff: ITMO professors and associate professors and professors of foreign partner universities. Length of program: 2 years (4 semesters) including 1 semester at the partner University (University of Amsterdam, the Netherlands) Partner Companies: There's a possibility of internship in partner companies in St. Petersburg [-]