The Master’s in Environmental Process Engineering offers a rigorous training and research framework designed to equip students with in-depth scientific expertise and advanced technical skills to address contemporary environmental challenges. The program covers strategic topics such as the treatment of drinking and wastewater, the management and valorization of solid waste, air pollution control, as well as unit operations in separation and transfer processes.
Relying on an integrated pedagogical approach that combines theoretical courses, intensive practical work, and numerical modeling, the program enables students to develop capabilities in the design, optimization, and management of treatment facilities. It also incorporates cutting-edge technological tools, including artificial intelligence applied to processes and advanced Python programming.
The program concludes with a professional internship in a company or research laboratory, providing hands-on experience and the opportunity to apply the skills and knowledge gained throughout the course in real-world settings.
Teaching Language
: English
Curriculum Highlights
Core Courses
The program is built on fundamental teaching units (courses) spread over the first three semesters:
Semester 1: Water Chemistry, Air Pollution, Fluid–Fluid Unit Operations, Heat Exchangers.
Semester 2: Drinking Water Production, Solid Waste Management, Adsorption and Membrane Separation, Physico-Chemical Wastewater Treatment.
Semester 3: Biological Wastewater Treatment, Gas Effluent Treatment, Engineering Thermodynamics, Multiphase Reactors and Bioreactors.
Advanced Topics
In cutting-edge technological areas:
Advanced Python Programming: Automation, data analysis, and visualization.
Process Simulation: Use of simulators for industrial-scale process design.
Process Intensification: Innovative equipment and methods (bioreactors, multiphase reactors).
Design of Experiments (DOE): Statistical optimization of experimental processes.
Applied AI Elements: Classification, neural networks, and AI projects for engineers.