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Find Masters Programs in Data Science in France 2019

A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.

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.

Top Master Programs in Data Science in France 2019

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10 Results in Data Science, France

University of Technology Troyes - UTT

Expert's objective in Big Analytics and Metrics is to design, develop and pilot innovative solutions to address the complexity of managing and analyzing these large amoun ... [+]

Best Masters in Data Science in France 2019. BIG DATA: BOOST YOUR CAREER WITH MANAGEMENT AND ANALYSIS OF DIGITAL DATA! In the era of Big Data, it is essential for companies and organizations make sense of the collected volumes of data and build support for decision-making tools. The objective of theExpert Big Analytics and Metrics is to design, develop and pilot innovative solutions to resolve the complexity of managing and analyzing these large amounts of data. It uses computer skills, mathematics, statistics, as well as human and social sciences. The central position of the expert Big Data allows him tosupport the company in its technological change and consolidate the strategic positioning of the latter. In everyday life, grad... [-]
France Troyes
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French
Full-time
Campus
University of Bordeaux

This international Master program provides a year of international research into public health data science, from project design to real life health data analysis and the ... [+]

This international Master program provides a year of international research into public health data science, from project design to real life health data analysis and the communication of results.

Program factsheet Academic cooperation: The Master of Public Health Data Science is delivered along with the Bordeaux Population Health Research Center. Admission requirements: Candidates must fulfill the following: hold at least a Master (year 1) degree with honors (minimum 240 ECTS or equivalent) in one (or more) of the following disciplines: statistics, informatics or epidemiology. Program duration: 1 year, including an internship (60 ECTS). Language requirements: This program is taught entirely in English. Excellent proficiency in English is therefore required. Students whose native language is not English must provide a TOEFL or IELTS certification: TOEFL score of 550/213/79-80 or IELTS score of 6.0. Level: Master (year 2) of Science in Public Health Data Science. Tuition fees: University registration fees: 250€ (approximately) Student Life Contribution: 90€ (to be paid to the CROUS - regional student assistance office) International program training fees: 4,500€ In 2018 / 2019, scholarships that fully cover training fees will be granted to selected applicants. Applications for these scholarships should be submitted at the same time as the application for the Master program. Program outline ... [-]
France Bordeaux Pessac Talence
September 2019
Full-time
1 year
Campus
EURECOM

The Internet of Things (IoT) represents a new stage in the digital revolution, fully contributing to the construction of a digital society. Several sectors of the digital ... [+]

Description

The Internet of Things (IoT) represents a new stage in the digital revolution, fully contributing to the construction of a digital society. Several sectors of the digital society use or will use the internet of objects to improve deployment, exploitation and industrialization procedures. These include intelligent transport, smart grids, smart city, industry 4.0, and so on. The issues concerning the mastery of the technologies and processes around the internet of objects are enormous and require a very high level of expertise with cutting-edge skills in multidisciplinary areas.

Objectives Design tools for processing and analyzing large amounts of data from sensors; Design and develop IoT applications and services adapted to industrial needs Understand and design communication mechanisms adapted to the constraints of the sensors (energy consumption, lack of computing capacities) Acquire dual competences technical courses in advanced fields (data exploitation, software development, communication networks in constrained environments, Machine Learning, sensor security) associated with courses in Innovation, Project Management, Entrepreneurship, etc. Admission Requirements ... [-]
France Biot
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Full-time
4 semesters
Campus
EURECOM

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 and proce ... [+]

Description

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 and processing. An increasing volume of data is daily produced by modern-day industrial processes (in fields such as energy, intelligent transport systems, aviation industry and many others...), and fuelled by the rise of multimedia tools and the Internet of Things in our daily life.

Objectives Combining computer and statistical sciences to develop cutting-edge and fundamental tools to efficiently address applied issues related to data processing. Learn how to develop methods, algorithms, and software able to extract value out of huge masses of heterogonous data with several dimensions. Provide a cohesive blend of technical classes in data mining, software engineering, distributed systems coupled with fundamentals of Business, Innovation and Project Management to develop profiles which are highly valued by corporate recruiters. Admission Requirements ... [-]
France Biot
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Full-time
4 semesters
Campus
University Bourgogne Franche-Comté (UBFC)

The objective of this Master's program is to be a highly specialized and selective Master’s degree program offering an integrated view on urban/regional and environmental ... [+]

The international research Master’s program “Data Analyst for Spatial and Environmental Economics” (DASEE) is a two-year program jointly proposed by the University of Bourgogne and AgroSup Dijon. Its objective is to be a highly specialized and selective Master’s degree program offering an integrated view on urban/regional and environmental issues from an economic perspective, with a particular focus on georeferenced data management and analysis. The students will be trained in economics and econometrics applied to the analysis of spatial and environmental issues. This program emphasizes interactions between economic theories, policy, and practices by focusing on the links between location choices of economic activities and the environment. It provides an in-depth training in the design, realization, analysis, and restitution of quantitative studies in spatial and environmental economics.... [-]

France Dijon
September 2019
Full-time
2 years
Campus
École Polytechnique

The Internet of Things: Innovation and Management Program (IoT-IM) Graduate Degree is based on the Ecole Polytechnique’s trademark multidisciplinary approach and provides ... [+]

Master The Internet of Things: Innovation and Management Program At a glance Diploma: Master’s Degree Type: Industry-oriented degree Number of ECTS credits: 140 Start: September 2019 Duration: 2 years Language: English Location: France Tuition Fees: €12,000/year

From mobile phones to watches, media platforms, utility grids, and medical devices, connected objects are permeating all levels of industry and technology. As society becomes increasingly digitized, the data they generate enables new interactions and business models, with wide-reaching impacts on traditional economic systems and, even, social habits.

For 21st century companies, developing the strategies and skills required to make their products connected is imperative in order to avoid their own obsolescence. But how are those skills developed?... [-]

France Palaiseau
September 2019
Full-time
2 years
Campus
École Polytechnique

The Economics, Data Analytics and Corporate Finance program equips students with the quantitative methodology and real-world experience required for a thorough economic t ... [+]

Master Economics, Data Analytics and Corporate Finance At a glance Diploma: Master’s Degree Type: Industry-oriented degree Number of ECTS credits: 140 Start: September 2019 Duration: 2 years Language: English Location: France Tuition Fees: €12,000/year

Based on École Polytechnique’s world-class record of excellence in the applied sciences, the Economics, Data Analytics, and Corporate Finance Graduate Degree offers you the unique opportunity to gain a complete, economics-based strategic understanding of new and transforming markets in the 21st-century industry.

Operating in a world of constant flux

With technology permeating every sector of the economy, the increasingly frantic pace of innovation can result in disruption at any level of industry. Corporate giants can suddenly find themselves on the decline, displaced by the meteoric rise of disruptive newcomers – see Uber and Airbnb’s similar impacts in their shake-up of the transport and hospitality sectors.... [-]

France Palaiseau
September 2019
Full-time
2 years
Campus
Université de Nantes

Through this program, students will acquire the scientific and technological skills towards a data scientist profile within a computer science degree. ... [+]

Through this program, students will acquire the scientific and technological skills towards a data scientist profile within a computer science degree. With case studies and an internship, they will also gain methodological and practical experience in conducting a high-level innovative process in the field of data science.

Objectives

Data science is a major scientific and technological area of computer sciences, founded on the fields of data analysis, machine learning, and databases. It leads to produce methods and technologies to enable data-driven progress in these social, scientific and economic activities.

Skills:

develop core scientific competencies, practical and methodological skills on data usage understand how data science applies to industry and be aware of its social, economic and scientific impact conduct a research or development project in the data analysis domain Admission ... [-]
France Nantes
September 2019
Full-time
1 year
Campus
EIT Digital Master School

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 ... [+]

Best Masters in Data Science in France 2019. Why study Data Science (DSC) at EIT Digital Master School?

You will acquire in-depth technical skills in scalable data collection techniques and data analysis methods. You will learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualization, and related concepts (e.g., data access, data pricing, and data privacy).

The curriculum combines the technical major in Data Science (DSC) (Technical major 75%) with a minor in Innovation & Entrepreneurship (I&E) (business minor 25%). You will learn how to bring innovation to the market and how to develop a successful business model. These additional entrepreneurial skills will give you your ticket to a successful career.... [-]

France Paris
September 2020
Full-time
2 years
Campus
IESEG School of Management Lille - Paris

Join our MSc in Big Data Analytics for Business: a one-year program completely taught in English at one of the top business schools in France on our Lille campus. ... [+]

The MSc in Big Data Analytics for Business is a unique program that trains business professionals in the field of (online) marketing, finance, and operations. Graduates will become decision makers with strong fundamentals in business and analytics.

Advantages of MSc in Big Data Analytics for Business

·Exposure to industry-based learning through a hackathon, workshops, recruitment meetings with industry experts.

·Exposure to leading data science technologies (Python, R, SAS, GIT, GITHub, JupyterLab, Jupyter Notebooks, Hadoop, Hyve, Spark, Kaggle, IBM SPSS Statistics, Tableau, Excel, amongst others).... [-]

France Lille
September 2019
Full-time
1 year
Campus