Study Plans: discover opportunities

Study Plans (curricula) cover different application areas, from Smart Mobility to more traditional topics from the perspective of Smart Planning. Network Resilience is a new and exciting topic in the transport sector and is fully addressed by the available curricula. Choosing an additional minor edge with 10 ETCS of extra effort allows for attaining the Diploma Supplement for Smart Infrastructure Developers. Study Plans can be selected once admitted to MSc-TEAM; choices are required starting from the second year of the study program.
The director of the Study Program is available to discuss the choice of the Study Plans. He can be reached in person at the MSc TEAM headquarters in Via Claudio 21, or he can be contacted online. In both cases, a booking utility is available here: MScTEAM – Director of the Study Program.
Study Plans can be chosen starting in a time window from mid-June to mid-July of the first year.

Study Plans Common Subjects


Common Subjects

A significant amount of common topics are shared by all curricula, ensuring that 65% of the teaching schedule is shared. This is an optimal compromise between a solid common transport engineering culture and the flexibility to accommodate your aptitude and professional vision.

Year Semester Subject ETCS
1 1 Language skills 3
1 1 Positioning and location-based services 9
1 1 Systems and Control Fundamentals 9
1 1 Electric Systems in Transportation 9
1 2 Road safety 9
1 2 Intelligent Transportation Systems 9
1 2 Machine Learning and Big Data 9
1 2 Lab Smart Infrastructures 2
2 2 Lab / Internship 7
2 2 MSc Thesis 12

Smart Mobility

Choose Smart Mobility if your attitude is toward digital technologies or if you believe the future of mobility lies in the connection and interoperability of vehicles, infrastructure, and services. We will take you by hand to apply new digital technologies to transportation. Regardless of your engineering background, you will be ready to face new challenges in transportation.

Smart mobility and new technologies are profoundly transforming the transportation industry, offering innovative solutions to longstanding challenges such as congestion, pollution, and inefficiency. Key trends characterize the development of the Smart Mobility paradigm:

  1. Autonomous Vehicles (AVs): Self-driving cars are being developed by companies like Tesla, Waymo, and Uber. These vehicles have the potential to improve safety, reduce traffic congestion, and provide greater accessibility to people who cannot drive.
  2. Ride-Sharing and Mobility as a Service (MaaS): Companies like Uber and Lyft have popularized ride-sharing services, while Mobility as a Service platforms are integrating various transportation options (bikes, scooters, public transit, ride-sharing) into a single, convenient app.
  3. Connected Vehicles: IoT technology allows vehicles to communicate with each other and infrastructure, enhancing safety and optimizing traffic flow. V2X (Vehicle-to-Everything) communication can reduce accidents and improve congestion management.
  4. Smart Traffic Management: Advanced traffic management systems use real-time data to optimize traffic flow, reduce congestion, and enhance safety. This includes adaptive traffic signals and predictive analytics.
  5. AI and Predictive Analytics: Machine learning algorithms are being used to predict traffic patterns, optimize routes for delivery trucks, and provide personalized transportation recommendations.
  6. Urban Planning and Smart Cities: Integrated urban planning and the development of smart cities are crucial for creating efficient and sustainable transportation systems that incorporate the latest technologies.
  7. Regulation and Policy: Governments worldwide are developing rules to address the challenges and opportunities presented by new transportation technologies, balancing innovation with safety and environmental concerns.

Integrating these technologies and trends into transportation systems can reduce congestion, lower emissions, increase accessibility, and improve overall mobility. However, challenges like regulatory hurdles, infrastructure development, and public acceptance will continue to shape the evolution of smart mobility in transportation.

Specific Subjects

Real-time Systems

2nd semester, 9 ETCS

Railway and Transit Services

2nd semester, 9 ETCS

Smart Planning

Is your vision to address decision-making problems in transportation through rigorous and up-to-date tools? Learn how to develop and master decision support systems. Apply them to the field of strategic infrastructure planning service scheduling, or operational management of networks. Become a Smart Planning expert in freight and passenger transport. Choose the Smart Planning study curriculum.

For several reasons, Smart Planning plays a crucial role in transportation engineering and mobility. It helps improve transportation systems' efficiency and addresses various environmental, economic, and social challenges. The critical importance of Smart Planning comes through:

  1. Optimizing Infrastructure: Smart planning ensures that transportation infrastructure, such as roads, bridges, and public transit systems, is designed and maintained efficiently. This optimization minimizes construction and maintenance costs while maximizing the lifespan of infrastructure assets.
  2. Traffic Management: Efficient traffic management, including intelligent traffic signal systems and congestion pricing, can help reduce traffic congestion, improve traffic flow, and reduce travel times. This leads to lower fuel consumption, reduced air pollution, and less commuter stress.
  3. Reducing Environmental Impact: Sustainable transportation planning can reduce greenhouse gas emissions and air pollution. Strategies like promoting public transit, encouraging biking and walking, and adopting electric vehicles can help mitigate the environmental impact of transportation systems.
  4. Enhancing Safety: Smart planning improves transportation safety by implementing better road design, speed limit enforcement, and advanced driver assistance systems (ADAS). These efforts help reduce accidents and save lives.
  5. Economic Development: Well-planned transportation systems are vital for economic development. They facilitate the movement of goods and people, support businesses, and attract investment. Efficient transportation networks can also reduce industry transportation costs, increasing competitiveness.
  6. Access to Opportunities: Smart planning ensures that transportation services are accessible to all members of society, regardless of income, age, or physical ability. This helps people access job opportunities, education, healthcare, and social services more efficiently.
  7. Urban Planning: Transportation planning is closely linked to urban planning. Smart urban planning includes considerations for mixed land use, transit-oriented development, and pedestrian-friendly design, which reduce the need for long commutes and encourage sustainable mobility choices.
  8. Data-Driven Decision Making: Smart planning relies on data and technology to make informed decisions. Real-time data from sensors, GPS, and mobile apps can help transportation agencies respond to incidents, adjust traffic flow, and plan infrastructure improvements more effectively.
  9. Public Engagement: Involving the community in transportation planning is essential. Smart planning includes mechanisms for gathering public input, addressing concerns, and ensuring that transportation solutions meet the needs and preferences of those who use them.
  10. Future-Proofing: As technology evolves, smart planning allows transportation systems to adapt and incorporate innovations, such as autonomous vehicles and electric mobility solutions. Planning for these changes can help cities and regions stay ahead of emerging trends.
  11. Resilience: Smart planning considers the resilience of transportation infrastructure in the face of climate change, extreme weather events, and other disasters. It involves designing infrastructure and systems that can withstand and recover from disruptions.
  12. Efficient Resource Allocation: By optimizing routes, schedules, and resource allocation, smart planning helps transportation agencies make the most of limited budgets and resources, ensuring that funds are directed where needed.

In summary, Smart Planning in transportation engineering and mobility is essential for creating efficient, sustainable, and inclusive transportation systems that benefit communities, the economy, and the environment. It leverages technology, data, and community input to make informed decisions and adapt to evolving needs and challenges.

Specific Subjects

Freight and Logistics

2nd semester, 9 ETCS

Resilient Networks

Build your professional skills on Resilient Networks. Physical infrastructures are often old, and the problem of keeping them efficient and safe is a crucial issue. Local failures quickly propagate in terms of network efficiency, with possible disruptive effects, requiring duly analyses and remediation strategies for improving both local and global resilience of transportation networks for freights and passengers.

Resilient networks have become increasingly important in transportation and mobility due to the growing complexity of transportation systems, the impact of climate change, and the integration of emerging technologies. Resilient networks dealt with:

  1. Climate Change Adaptation: Climate change has led to an increase in extreme weather events, such as floods, hurricanes, and wildfires. These events can disrupt transportation networks. Resilience planning is essential to ensure that transportation systems can withstand and recover from climate-related disruptions, minimizing downtime and maintaining connectivity.
  2. Disaster Response and Recovery: Transportation networks are critical in disaster response and recovery. Resilience planning involves designing infrastructure and systems that can quickly adapt to changing conditions, allowing emergency services to access affected areas and facilitate the evacuation of residents.
  3. Digitalization and Automation: Integrating digital technologies and automation in transportation systems, including autonomous vehicles and intelligent traffic management, has created new challenges and opportunities for resilience planning. Ensuring the security and reliability of digital infrastructure is crucial to maintaining mobility in the face of cyber threats and system failures.
  4. Supply Chain Resilience: Global supply chains rely heavily on transportation networks to move goods efficiently. Transportation disruptions can have cascading effects on supply chains. Resilience planning involves diversifying supply chain routes, adopting just-in-case inventory strategies, and using real-time data to respond to disruptions swiftly.
  5. Electrification and Alternative Fuels: Transitioning to electric vehicles (EVs) and alternative fuels is critical to sustainable mobility. Resilient Networks include planning for the charging infrastructure required for EVs and ensuring that alternative fuel supply chains are robust enough to maintain reliable mobility options.
  6. Intermodal Connectivity: Resilience planning emphasizes intermodal connectivity, which enables smooth transitions between various modes of transportation (e.g., trains, buses, and bicycles). This reduces the dependence on a single mode and provides alternative options in case of disruptions.
  7. Community and Equity: Resilience planning considers the needs of all community members, especially vulnerable populations. Transportation systems must be designed to provide access to essential services and resources during disruptions, ensuring that no one is left behind.
  8. Data and Predictive Analytics: Real-time data and predictive analytics play a significant role in network resilience. These tools can help transportation agencies anticipate disruptions, optimize traffic flow, and provide timely information to travelers, enabling them to make informed choices during troubles.
  9. Infrastructure Maintenance and Redundancy: Resilience planning involves regular infrastructure maintenance to prevent wear and tear that can lead to unexpected failures. It may also include building redundancy into critical transportation links to ensure alternative routes are available during disruptions.
  10. Public-Private Partnerships: Collaboration between public and private sector stakeholders is essential for network resilience. Private companies often play a crucial role in transportation infrastructure and can work with governments to implement resilient solutions.
  11. Legislation and Regulations: Governments increasingly recognize network resilience's importance and implement regulations and legislation to promote it. These measures may include requirements for climate resilience assessments, cybersecurity standards, and disaster preparedness plans.

In conclusion, network resilience is fundamental in transportation and mobility planning. It involves a comprehensive approach encompassing infrastructure design, technology integration, emergency response, and community engagement. As transportation systems evolve and face new challenges, planning resilient networks will be critical to ensure people and goods' reliable and sustainable movement.

Specific Subjects

Structural Health Monitoring

1st semester, 9 ECTS

Sustainable Road Materials

2nd semester, 9 ETCS

Railway and Transit Services

2nd semester, 9 ETCS

Resilience of Geotechnical Systems

2nd semester, 6 ETCS

Smart Infrastructures Developer (130 ETCS)


Smart Mobility + 6 ETCS Smart Roads and Cooperative Driving + 4 ETCS Workshops, Labs and Seminars


Smart Planing + 6 ETCS Smart Roads and Cooperative Driving + 4 ETCS Workshops, Labs and Seminars


Resilient Networks + 6 ETCS Resilience of Transportation Networkss + 4 ETCS Workshops, Labs and Seminars

Applied Machine Learning

A minor study program for Applied Machine Learning can be a valuable addition to your educational journey, especially if you're interested in the fascinating field of algorithms and statistical models that enable computers to learn from data and make predictions or decisions. The minor also exploits some of the competencies already acquired in the major educational roadmap. It lets the students view some studied subjects from a new perspective. Applied Machine Learning is required to apply effective and modern techniques in the smart mobility arena. A deep understanding of the principles for integrating technologies into infrastructures and enhancing the efficiency, sustainability, and functionality of sensors and sensing systems. Data learning techniques allow the extraction of valuable insights from the data collected, examining innovative transportation systems, including intelligent traffic management, autonomous vehicles, and public transportation innovations.

The minor program for Applied Machine Learning will equip you with a well-rounded understanding of Smart Mobility development, including the technologies, practices, and principles involved in creating more efficient, sustainable, and user-centric infrastructures for the future. Be sure to check with your educational institution for specific course offerings and requirements for this minor program.

The Minor in Applied Machine Learning provides an educational path that includes activities up to 30 credits. The student selects modules from a portfolio dedicated to acquiring methodologies to propose and support the development of smart mobility solutions. The selection of the modules is submitted by the student and approved by a Steering Committee. The Study Program in Transportation Engineering and Mobility has framed a roadmap that automatically matches all the requirements for Applied Machine Learning.
The roadmap ensures the acquisition of a Digital Badge.

Entry key and information

Applied Machine Learning Fact Sheet

Awards Level 2
Mode of Study Full Time
Duration 2 years + (activities for extra 10 ETCS are requested)
Location 21, via Claudio - 80125 Napoli (Italy) -

Entry Requirements:

Candidate students require a level 6 qualification (or above), according to the European Qualifications Framework (EQF). Moreover, they should provide evidence of English language proficiency at level B2 or above (otherwise, individual English proficiency testing could be done immediately after enrolment). For non-EU candidate students, a B2 English certificate is strictly needed. A certificate issued by the bachelor's degree University or an MOI (Medium of Instruction) certificate is also accepted.

The MSc in Transportation Engineering And Mobility preferably requires a bachelor's in Engineering. Otherwise, particular conditions must be checked:

  • At least 36 ETCS in basic sciences (maths, physics, etc.)
  • At least 39 ETCS in industrial engineering, information, and communication technology, or civil engineering; of these, at least 18 ETCS in civil engineering.

Non-EU candidates must follow a pre-admission roadmap for obtaining a visa to study in Italy.

For more admission information, see the relevant web page.

Additional activities

It is requested an additional amount of activities (10 extra ECTS):

  • 4 ETCS in additional seminars, workshops, and lab activities
  • 6 ETCS for a subject on smart infrastructures, based on lectures and final examination.