INDUSTRY 4.0
Taught in French
DIJON campus
TAUGHT IN FRENCH
AIMS
The engineer involved in the Industry 4.0 has strong skills in embedded systems and robotics, in quality control and in customer support. As leaders in a key issue of digital transformation, ESEO engineers assist industrialists in transforming, innovating and optimising their facilities.
ACQUIRED SKILLS
You will be proficient in implementing smart sensors and interconnecting devices. You will also collect, transport, store and use data, and have a thorough grounding in various fields such as robotics and mechatronics, automation and industrial IT as well as in modelling and numerical simulation.
CAREER OPPORTUNITIES
You will access positions such as:
- Robotics and Mecatronics Engineer
- Additive Manufacturing Engineer
- Modelling, Simulation & Numerical Optimisation Engineer
- Automation & Industrial IT Engineer
- Energy & Environment Engineer
Course units
Semester 8
The course is based on 2 main areas:
A core curriculum including Digital Health and Smart-City majors with a balanced combination of hard sciences, data collection, processing and analysis;
A 112-hour project related to the major chosen in S9. Course Units common to all three majors:
- Industry 4.0 Project: 112h -10 ECTS
- Data Science: 28h - 3 ECTS
- Instrumentation: 28h - 2 ECTS
- Internet of Things: 28h - 3 ECTS
- Big Data and Security: 28h - 3 ECTS - The digital information cycle
- Artificial Intelligence 1: 28h - 3 ECTS - Methods and neural networks
- Augmented Reality / Virtual Reality: 28h - 2 ECTS
- English: 28h - 2 ECTS
- Transversal Skills: 28h - 2 ECTS
Semester 9
The course is divided into 3 areas:
A core curriculum with 3 Course Units to cover in depth the various scientific concepts related to collecting, processing, analysing and storing data
A specific core of 5 Course Units related to the chosen major
A 168-hour industrial final year project
Course Units common to all three majors:
Distributed Infrastructure: 28h - 2 ECTS - Large scale infrastructures, Quality of Service, Cloud computing
Flow Optimisation: 28h -2 ECTS- Evolutionary Algorithms
Efficiency and Environment: 28h - 2 ECTS- Decision-making tools (Predictive maintenance, diagnostics) / Energy and environment
(Energy efficiency, Green IT)
Specific Course Units in Industrie4.0:
- CAD and Additive Manufacturing: 28h -2 ECTS
- Modelling and Digital twin: 28h -2 ECTS
- Automatics and Industrial Data Processing: 28h -2 ECTS
- Logistics in Industrial Manufacturing: 28h -2 ECTS
- Dynamics of Electromechanical Systems: 28h -2 ECTS
- Final Year Project: 168h - 14 ECTS