Specialty – Data Handling and Reliability for Industry (DFI)

This course is open to UTC apprenticeship candidates.

In addition to acquiring recognized scientific and technological skills, university degree apprenticeships enable students to learn professional skills that are particularly appreciated by companies.

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Engineers graduating from the “Data Handling and Reliability for Industry” (DFI) program acquire the knowledge needed to exploit massive data (product/process) to understand and solve the problems posed by industrial systems in design and production. As part of a robust and sustainable engineering approach, they are able to develop robust models (comparing tests with numerical calculations) based on data, conduct operating safety studies (Preliminary Risk Analysis, FMEA, Fault Trees, etc.) and optimize the performance of a product or production process (6 sigma, Statistical Process Control, predictive maintenance) by exploiting all available data.

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Guide des UV

Pedagogy

Basic training in mechanical engineering is complemented by courses in data analysis, operational safety, maintenance and the management of intelligent industrial processes.

In the DFI specialty course, students will study the following topics:

Control and supervision of intelligent production processes;
Real and digital experimental designs, test/calculation confrontation;
Robust engineering;
System dependability, industrial reliability;
Product-process data analysis (data-analysis);*
Predictive maintenance, PHM.

In addition to these courses, students are offered projects involving technology platforms and industrial simulation tools. This enables DFI students to gain hands-on experience through practical work, serious games and real-life company projects.

The programme is also available in apprenticeship format, offering the possibility of a sandwich course, particularly in the final year.

Pedagogical team

The teaching team consists of lecturer-cum-research scientists attached to the Roberval mechanical engineering research unit, developing research activities in the fields of robust engineering (experimental design, control and supervision of intelligent production processes) and operational safety (reliability, predictive maintenance, etc.).

Facilities and infrastructures

Students have access to the “Agile Manufacturing System” technology platform (conveyor with robotised cell) and industrial process simulators implement the concepts developed during the course.

In addition, the software resources used are mainly those used in industrial environments: for industrial reliability and maintenance (Reliasoft), for robust engineering and experimental design (Minitab) and for supervision and control of intelligent industrial processes (Python, R).

Internships and industrial relations

For students in initial training under student status (FISE= Initial engineering training under student status), the end-of-studies project is carried out in an industrial setting – lasting 6 months – in the automotive sector (Renault, PSA, Toyota, Valeo, PO, Faurecia, Saint Gobain), aeronautics (Safran, Stelia, Aibus Helicopters, Rolls Royce, MBDA, Thales), cosmetics (Colgate Palmolive, Chanel, L'Oréal), energy (EDF, Total, Technip), transport (RATP, SNCF, Air France) and other sectors (Decathlon, Cartier…). ). The end-of-studies project can also be carried out abroad.

International outreach

Students in the DFI program with student status (FISE) can spend at least one semester studying abroad with partner universities in various countries: Brazil (Universidade Federal Do Parana), South Korea (Kaist Korea Advanced Institute Of Science And Technology), Spain (Grenada, Valladolid, Navarra), Finland (Tampere University of Technology…), Norway (Norwegian University of Science and Technology), UK (Cranfield, Glasgow, Loughborough), Czech Republic (Brno), Sweden (Göteborg, Linköping, Luleå).

To develop their ability to work in an international context, DFI apprentices are required to spend 12 weeks abroad during their training. This stay can be either in a professional context linked to their company, or in another professional context, in one or more periods.

Professional openings

Job opportunities are mainly to be found in the mechanical engineering industry (automotive, equipment manufacturers, aeronautics, consumer goods, energy, etc.): industrialization engineers (methods office), production, quality, project and consulting engineers.

Recently, service sector companies in the data science sector have opened up to this profession, and also present a major source of jobs for DFI students with dual skills in mechanical engineering and data analysis.

Examples of jobs: operating safety engineer, methods and quality manager, project manager, logistics engineer, manufacturing engineer, logistics quality manager, etc.