An excellence programme at the heart of the energy and digital transition
The Master GPIA trains engineers and experts capable of understanding, modeling, and optimizing industrial processes, while integrating modern approaches in artificial intelligence, advanced simulation, and data analysis.
Integrated into the Process Engineering and Bio-Processes track at Claude Bernard Lyon 1 University, the Master is directly supported by the Georges Friedel Laboratory (LGF – UMR CNRS 5307). This scientific environment of excellence ensures complete immersion in research and innovation, preparing our graduates to address the complex challenges of the energy, transformation, and environmental industries.
Programme objectives
- Master the fundamentals of process engineering
(heat and mass transfer, kinetics, modeling, thermodynamics) - Learn to simulate and optimize complex processes
- Develop expertise in numerical methods, modeling, and instrumentation
- Understand AI approaches applied to processes
(machine learning, pattern recognition, advanced statistics) - Prepare students for careers in industry or research (PhD)
Why choose the Master GPIA?
- A programme taught in English, open to international students
- A programme supported by CNRS and the technological platforms of Mines Saint-Étienne
- A dual competence: industrial processes + artificial intelligence
- A strong focus on the energy, environment, processes & materials sectors
- Possibility to pursue a PhD, in France or abroad
- 2 tracks to choose from in M2:
- Process Engineering Focus
- Artificial Intelligence Focus
The Master programme director’s vision
Shaping tomorrow’s eco-efficient industry
“Our ambition is to train the engineers who will successfully lead the digital and ecological transition of industry. By combining powder science, multi-physics simulation, and AI, we offer a complete toolkit for innovation.”
Jean-Michel Herri, Mines Saint-Étienne
Key skills developed
- Process modeling & simulation
- Thermodynamic & energy analysis
- Transfer mechanisms and physical phenomena
- Instrumentation, sensors, data acquisition
- Machine Learning, advanced statistics
- Process optimization through AI
- Design and control of energy systems
A programme focused on energy and environmental challenges
Graduates are trained to contribute directly to:
- the energy transition,
- the efficiency of industrial processes,
- the reduction of environmental impacts,
- continuous innovation in industrial sectors.
A master at the heart of innovation
The courses are based on the academic strengths of the SPIN center and the LGF, involved in cutting-edge research concerning:
- energy efficiency,
- clean processes,
- materials and energy-matter conversion,
- advanced modeling and numerical simulation.
❗️ Applications are open from January to April.
Contact
Master programme director
Administrative contact
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