COMPUTING
DATA
USES
academics under status student
INFORMATIQUE
DATA
USES
WHAT YOU LIKE
It means creating, designing and innovating, analyzing and modeling, interacting and communicating, leading and sharing, but also taking up challenges, developing, programming and working for a better world.
WHAT YOU'RE PASSIONATE ABOUT
Computer science and statistics, data management and processing, networks and distributed systems, BIG DATA technologies and web development.
WHAT MAKES YOU DREAM
These are the IT, digital, R&D, consulting, sustainable development, telecommunications, production, finance, banking, insurance, healthcare, transport and
energy sectors.
SKILLS
■ Specify, analyze, design and implement IT systems in a context of massive data (BIG DATA)
■ Design the collection, analysis, processing and use of data for efficient and secure exploitation
■ Master the associated economic and social dimensions
to innovation through data and the creation of new IT uses
■ Ensure the security of data transport and distribution through a choice of appropriate hardware and software architecture.
KNOWLEDGE
■ Computer design: modeling, languages, programming
■ Data science:statistics, analysis and visualization, machine learning, classification
■ Systems, networks and databases: virtualization, distribution, scaling, high-performance computing, security
■ Computing and society: social networks and media, economics and governance of data, collaborative platforms, General Data Protection Regulation - RGPD
■ BIG DATA technologies, web development
OPERATIONS
■ Information systems architect
■ Data scientist
■ Data analyst & business intelligence
■ Data architect
■ Information and environmental data manager
■ Big Data engineer
■ Clouds and DevOps engineer
■ Research and development engineer
■ Machine learning engineer
ACADEMICS STUDENT ENGINEER
THE STUDENT PROGRAM
The academics IDU enables you to acquire the skills needed to manage IT projects and carry out multi-disciplinary, cross-functional assignments in a variety of sectors.
The pedagogical organization is based on:
■ a foundation of knowledge in basic sciences, modern languages and human and social sciences
■ specialty courses focusing on mathematics, computer systems design, data science, technologies and human, economic and social sciences specific to the data professions,
■ in-depth courses in the specialty disciplines,
■ numerous projects.
Corporate and international
Professionalization and international openness are achieved through the involvement of professionals in the academics program, corporate internships (discovery of the professional environment, engineering assistant and engineer), the R&D project, and international mobility.
EDUCATION
Scientific foundations
■ Mathematics, computer science, electricity, automation, logic, graphs and languages, specialized mathematics (statistics), stochastic modeling, languages
Specific teaching
■ Computer design (algorithms, programming, languages, database, systems, networks, security, cryptography), data science (BIG DATA, analysis, visualization, machine learning), web technologies and development platforms, applications and uses (projects)
■ Economics and governance of data, data professions, digital society, collaborative platforms
■ Operating systems and virtualization, Data Science project
■ Optimization and multi-criteria decision support
■ High-Performance Computing and Cloud Computing Advanced methods in machine learning
■ Innovation and research
Languages
■ Compulsory English and one other language of choice
Human Sciences Economics and Social Sciences
■ Communication, law, financial management, management, economics, sports, sustainable development, innovation, professional resources and dynamics, creativity
PROFESSIONAL INTEGRATION
The survey carried out by Université Savoie Mont Blanc attests to the excellent job placement of our IT Data Use engineers.
Employment rate: 83% - Median gross annual salary in France: €35,831
Employment rate: 100% - Median gross annual salary in France: €36,464
Corporate partnerships
Corporate sponsors academics : Crédit Agricole Group Infrastructure Plateform CA-GIP, Crédit Agricole Technologies et Services CA-TS, Sopra Steria