Second level Professional Master
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Professional Master in Digitalization and autonomous commercial vheicles for a carbon-free logistics

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Academic year 2022/2023
Politecnico di Torino
EQF level: 8
Field of study: education
Place of teaching
torino (TO), italy
Duration of the course
Jan 2023 - Jan 2025
Attendance methods
Full time
Teaching
Classroom-based
Languages in which the course is held
Italian
University formative credits
65
Cost
Free course

Course contents

The 2nd level specializing Master's in Digitalization and Autonomous Commercial Vehicles for a Carbon-Free Logistics aims at providing training for young graduate apprentices who will be hired by Iveco Group for Iveco and FPT Brands. The 2nd level Specializing Master’s programme will develop skills for the use of innovative technologies in the automotive sector, with particular focus on autonomous driving , hybrid / electric technologies applied to commercial vehicles and digitalization through vehicles connectivity and data analytics.2030+ commercial vehicles have to meet the EU checkpoint towards the 2050 “close-to-zero emissions”, “virtually carbon-free” and “zero accident” goals. The path towards air quality improvement and noise reduction will be paved by the deployment of pure electric-mode vehicles. Their efficient and effective operations require them to be fully integrated in the energy network and system. This will be based on the pervasive employment of renewable energy associated to the overall energy eco-system efficiency aiming to address greenhouse gas reduction. Another key element to future decarbonization of the European transport system will be the availability of low-carbon renewable fuels and blending components, both liquid and gaseous e.g. those produced from biomass, or synthetic fuels using green electricity. Their production may potentially remove existing CO2 from the environment, and they may be used for chemical storage of electrical energy. Optimized energy consumption, smart routing and predictive diagnostics will leverage on more and more sophisticated algorithms based on connected vehicle data. Safety and comfort for the Drivers will be supported by advanced telematics, real-time notifications and vocal interfaces.
A new way of optimizing energy needs of the vehicle and design efficient solutions for auxiliaries will also be needed to meet the high demanding target. On top of this, connected automated driving is seen as one of the key technologies and major technological advancements influencing and shaping future logistics and quality of life. The main drivers for higher levels of Automated Driving are:
Safety: reduce accidents caused by human errors.
Efficiency and environmental objectives: increase transport system efficiency, optimize fleet management and reduce time in congested traffic by new mobility solutions. Also, smoother traffic will help to decrease the energy consumption and emissions of the vehicles.
Comfort: enable user’s freedom for other activities when automated systems are active and provide Apps and tools to increase onboard user’s productivity.
Social inclusion: ensure mobility enlarging the social responsibility for any end user and for the citizen in general.
Accessibility: facilitate access to city centers accordingly to the e-mobility prescriptions.
This 2nd level Specializing Master’s programme focuses on all the technologies required to address such challenges in the next decade. It also digs into the new emerging technologies like artificial intelligence, automation, digitalization and big data to create the framework for the new generation of fully-automated and connected vehicles. Beyond 10 years, the new possibilities offered by digital era of transportation will enable new concepts of “smart” vehicles, whose operation can be dynamically adapted and optimized to missions and environmental conditions, pushing efficiency and environmental friendliness of transport means beyond current paradigms. A giant innovation gap and novel skills are needed to be cover the Iveco Group challenges: it is materially impossible to face the change required by the above-mentioned challenges without breaking the silos. Working together in cross disciplinary and cross sectors teams with a co-creation approach will be a key for success.
Page of the course on the University's website

Teaching

Place of teaching
torino (TO), italy
Duration of the course
Jan 2023 - Jan 2025
University formative credits
65
Number of hours
1615 ( 400 hours of learning activities, 525 hours of internship)
Attendance methods
Full time
Compulsory attendance
Working days
Teaching
Classroom-based
Languages in which the course is held
Italian

Admission requirements

Type of degree required
2nd Level Degree
Field of study
information and communication technologies (icts), architecture and construction, engineering and engineering trades, natural sciences, mathematics, physics and statistics
Foreign language skills
English, Italian
A good knowledge of the English and Italian language is considered an essential prerequisite for the final selection. The partner companies will assess the candidate’s level of proficiency during the selection process.
Degree programme classes
LM-20, 25/S - Aerospace and aeronautical engineering (2), LM-21, 26/S - Biomedical Engineering (2), LM-28, 31/S - Electrical engineering (2), LM-29, 32/S - Electronic engineering(2), LM-30, 33/S - Energy and nuclear engineering (2), LM-31, 34/S - Engineering and Industrial Management (2), LM-32, 35/S - Computer Engineering (2), LM-33, 36/S - Mechanical Engineering (2), LM-44, 50/S - Mathematics and physics: modelling for engineering (2), LM-53, LM-53ante21, 61/S - Materials engineering (2)
Other educational requirements
Laurea Magistrale in:
LM-20 (Ingegneria Aerospaziale)
LM-21 (Ingegneria Biomedica)
LM-22 (Ingegneria Chimica)
LM-25 (Ingegneria dell’Automazione)
LM-28 (Ingegneria Elettrica)
LM-29 (Ingegneria Elettronica)
LM-30 (Ingegneria Energetica e Nucleare)
LM-31 (Ingegneria Gestionale)
LM-32 (Ingegneria Informatica)
LM-33 (Ingegneria Meccanica)
LM-44 (Modellistica Matematico-Fisica per l’Ingegneria)
LM-53 (Scienza e Ingegneria dei Materiali).

Admission

Available places
20
Admission
No admission selection
Le candidature valutate idonee saranno rese disponibili ai selezionatori di Alstom Ferroviaria S.p.A. ed accederanno alla fase successiva di selezione a cura dell'Azienda. Il percorso sarà modulato in diversi momenti finalizzati a cogliere la compatibilità e la motivazione dei candidati rispetto ai temi presenti all’interno del Master in Railways Mobility Industry: Train 4 Me. I passaggi essenziali sono: - una giornata di valutazione che prevede: prova individuale di public speaking (il tema sarà definito in fase di convocazione) assessment center: attività in gruppo per osservare le attitudini dei candidati verso la promozione della diversità e dello spirito imprenditoriale che in Alstom Ferroviaria S.p.A. sono rappresentati dai 3 valori Agile, Inclusive, Responsible - colloquio individuale a chiusura dell’attività di gruppo tra candidato e selezionatore per conoscere ed ascoltare le motivazioni personali e professionali In caso di esito positivo, seguirà un invito presso l’azienda finalizzato a sostenere un colloquio di conoscenza e validazione condotto dal referente HR insieme al responsabile tecnico del dipartimento coinvolto nel programma del Master in Railways Mobility Industry: Train 4 Me
Cost
Free course
Scholarships
Not available

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Other editions of the same course
Academic year edition 2018/2019
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